George Dimitri Konidaris

Orcid: 0000-0002-4460-2519

Affiliations:
  • Brown University, Providence, RI, USA


According to our database1, George Dimitri Konidaris authored at least 158 papers between 2004 and 2024.

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Bibliography

2024
Latent-Predictive Empowerment: Measuring Empowerment without a Simulator.
CoRR, 2024

Bootstrapping Object-level Planning with Large Language Models.
CoRR, 2024

Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy.
CoRR, 2024

Learning Abstract World Model for Value-preserving Planning with Options.
CoRR, 2024

Verifiably Following Complex Robot Instructions with Foundation Models.
CoRR, 2024

Learning Abstract World Models for Value-preserving Planning with Options.
RLJ, 2024

Robot Task Planning Under Local Observability.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Skill Transfer for Temporal Task Specification.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Composable Interaction Primitives: A Structured Policy Class for Efficiently Learning Sustained-Contact Manipulation Skills.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Model-based Reinforcement Learning for Parameterized Action Spaces.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Language-guided Skill Learning with Temporal Variational Inference.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

EPO: Hierarchical LLM Agents with Environment Preference Optimization.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Automatic encoding and repair of reactive high-level tasks with learned abstract representations.
Int. J. Robotics Res., April, 2023

A domain-agnostic approach for characterization of lifelong learning systems.
Neural Networks, March, 2023

MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds.
CoRR, 2023

Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill-Learning.
CoRR, 2023

Exploiting Contextual Structure to Generate Useful Auxiliary Tasks.
CoRR, 2023

Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments.
IROS, 2023


Improved Inference of Human Intent by Combining Plan Recognition and Language Feedback.
IROS, 2023

Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

Meta-learning Parameterized Skills.
Proceedings of the International Conference on Machine Learning, 2023

RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents.
Proceedings of the International Conference on Machine Learning, 2023

Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills.
Proceedings of the Conference on Robot Learning, 2023

Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Q-functionals for Value-Based Continuous Control.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
IKFlow: Generating Diverse Inverse Kinematics Solutions.
IEEE Robotics Autom. Lett., 2022

Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex.
CoRR, 2022

Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills.
CoRR, 2022

RLang: A Declarative Language for Expression Prior Knowledge for Reinforcement Learning.
CoRR, 2022

Skill Transfer for Temporally-Extended Task Specifications.
CoRR, 2022

Meta-Learning Transferable Parameterized Skills.
CoRR, 2022

Characterizing the Action-Generalization Gap in Deep Q-Learning.
CoRR, 2022

Learning Abstract and Transferable Representations for Planning.
CoRR, 2022

Adaptive Online Value Function Approximation with Wavelets.
CoRR, 2022

Hierarchical Reinforcement Learning of Locomotion Policies in Response to Approaching Objects: A Preliminary Study.
CoRR, 2022

Effects of Data Geometry in Early Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Model-based Lifelong Reinforcement Learning with Bayesian Exploration.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Optimal Correlational Object Search.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

RMPs for Safe Impedance Control in Contact-Rich Manipulation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Generalizing to New Domains by Mapping Natural Language to Lifted LTL.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Using Language to Generate State Abstractions for Long-Range Planning in Outdoor Environments.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning to Infer Kinematic Hierarchies for Novel Object Instances.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Autonomous Learning of Object-Centric Abstractions for High-Level Planning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Optimistic Initialization for Exploration in Continuous Control.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms.
J. Mach. Learn. Res., 2021

Guided Policy Search for Parameterized Skills using Adverbs.
CoRR, 2021

Coarse-Grained Smoothness for RL in Metric Spaces.
CoRR, 2021

HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning.
CoRR, 2021

Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings.
CoRR, 2021

Learning Markov State Abstractions for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Resolution POMDP Planning for Multi-Object Search in 3D.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Learning to Detect Multi-Modal Grasps for Dexterous Grasping in Dense Clutter.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Bootstrapping Motor Skill Learning with Motion Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Robustly Learning Composable Options in Deep Reinforcement Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Efficient Black-Box Planning Using Macro-Actions with Focused Effects.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning Collaborative Pushing and Grasping Policies in Dense Clutter.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Skill Discovery for Exploration and Planning using Deep Skill Graphs.
Proceedings of the 38th International Conference on Machine Learning, 2021

Visual Transfer For Reinforcement Learning Via Wasserstein Domain Confusion.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Deep Radial-Basis Value Functions for Continuous Control.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Optical Coherence Tomography-Guided Robotic Ophthalmic Microsurgery via Reinforcement Learning from Demonstration.
IEEE Trans. Robotics, 2020

Task Scoping: Building Goal-Specific Abstractions for Planning in Complex Domains.
CoRR, 2020

Steps Towards Best Practices For Robot Videos.
CoRR, 2020

Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic.
CoRR, 2020

Deep RBF Value Functions for Continuous Control.
CoRR, 2020

Simultaneously Learning Transferable Symbols and Language Groundings from Perceptual Data for Instruction Following.
Proceedings of the Robotics: Science and Systems XVI, 2020

Building Plannable Representations with Mixed Reality.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Roadmap Subsampling for Changing Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Portable Representations for High-Level Planning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Exploration in Reinforcement Learning with Deep Covering Options.
Proceedings of the 8th International Conference on Learning Representations, 2020

Option Discovery using Deep Skill Chaining.
Proceedings of the 8th International Conference on Learning Representations, 2020

Task Scoping for Efficient Planning in Open Worlds (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Modeling and Planning with Macro-Actions in Decentralized POMDPs.
J. Artif. Intell. Res., 2019

Communicating and controlling robot arm motion intent through mixed-reality head-mounted displays.
Int. J. Robotics Res., 2019

Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control.
CoRR, 2019

Probabilistic Category-Level Pose Estimation via Segmentation and Predicted-Shape Priors.
CoRR, 2019

Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces.
CoRR, 2019

Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations.
Proceedings of the Robotics Research, 2019

Grounding Language Attributes to Objects using Bayesian Eigenobjects.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Bounded-Error LQR-Trees.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

DeepMellow: Removing the Need for a Target Network in Deep Q-Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

End-User Robot Programming Using Mixed Reality.
Proceedings of the International Conference on Robotics and Automation, 2019

Scanning the Internet for ROS: A View of Security in Robotics Research.
Proceedings of the International Conference on Robotics and Automation, 2019

Discovering Options for Exploration by Minimizing Cover Time.
Proceedings of the 36th International Conference on Machine Learning, 2019

Finding Options that Minimize Planning Time.
Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Multi-Level Hierarchies with Hindsight.
Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Generalize Kinematic Models to Novel Objects.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Removing the Target Network from Deep Q-Networks with the Mellowmax Operator.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

A Programmable Architecture for Robot Motion Planning Acceleration.
Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019

2018
From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning.
J. Artif. Intell. Res., 2018

Finding Options that Minimize Planning Time.
CoRR, 2018

Representing, learning, and controlling complex object interactions.
Auton. Robots, 2018

Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Learning Symbolic Representations for Planning with Parameterized Skills.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Policy and Value Transfer in Lifelong Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Mean Actor Critic.
CoRR, 2017

Bayesian Eigenobjects: A Unified Framework for 3D Robot Perception.
Proceedings of the Robotics: Science and Systems XIII, 2017

Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Active Exploration for Learning Symbolic Representations.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Comparing Robot Grasping Teleoperation Across Desktop and Virtual Reality with ROS Reality.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Communicating Robot Arm Motion Intent Through Mixed Reality Head-Mounted Displays.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

An Analysis of Monte Carlo Tree Search.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Cognitive Development and Symbol Emergence in Humans and Robots (NII Shonan Meeting 2016-14).
NII Shonan Meet. Rep., 2016

Policy search for multi-robot coordination under uncertainty.
Int. J. Robotics Res., 2016

Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes.
CoRR, 2016

Representing and Learning Complex Object Interactions.
Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

Robot Motion Planning on a Chip.
Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

The microarchitecture of a real-time robot motion planning accelerator.
Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

Constructing Abstraction Hierarchies Using a Skill-Symbol Loop.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Reinforcement Learning with Parameterized Actions.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Regularized feature selection in reinforcement learning.
Mach. Learn., 2015

Learning grounded finite-state representations from unstructured demonstrations.
Int. J. Robotics Res., 2015

Reinforcement Learning with Parameterized Actions.
CoRR, 2015

A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence.
AI Mag., 2015

Reports of the AAAI 2014 Conference Workshops.
AI Mag., 2015

Policy Evaluation Using the Ω-Return.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Nonparametric Bayesian reward segmentation for skill discovery using inverse reinforcement learning.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Symbol Acquisition for Probabilistic High-Level Planning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Planning for decentralized control of multiple robots under uncertainty.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Probabilistic Planning for Decentralized Multi-Robot Systems.
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

2014
Learning parameterized motor skills on a humanoid robot.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Active Learning of Parameterized Skills.
Proceedings of the 31th International Conference on Machine Learning, 2014

Planning with macro-actions in decentralized POMDPs.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Hidden Parameter Markov Decision Processes: An Emerging Paradigm for Modeling Families of Related Tasks.
Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

Constructing Symbolic Representations for High-Level Planning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Optimizing a Start-Stop Controller Using Policy Search.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Reports of the 2013 AAAI Spring Symposium Series.
AI Mag., 2013

The AAAI-13 Conference Workshops.
AI Mag., 2013

Robots, skills, and symbols.
Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems, 2013

Optimal sampling-based planning for linear-quadratic kinodynamic systems.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Symbol Acquisition for Task-Level Planning.
Proceedings of the Learning Rich Representations from Low-Level Sensors, 2013

Behavioral Hierarchy: Exploration and Representation.
Proceedings of the Computational and Robotic Models of the Hierarchical Organization of Behavior, 2013

2012
Transfer in Reinforcement Learning via Shared Features.
J. Mach. Learn. Res., 2012

Robot learning from demonstration by constructing skill trees.
Int. J. Robotics Res., 2012

Reports of the AAAI 2012 Spring Symposia.
AI Mag., 2012

Learning and generalization of complex tasks from unstructured demonstrations.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Learning Parameterized Skills.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Value Function Approximation in Reinforcement Learning Using the Fourier Basis.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Autonomous Skill Acquisition on a Mobile Manipulator.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Efficient Skill Learning using Abstraction Selection.
Proceedings of the IJCAI 2009, 2009

2008
Autonomous Robot Skill Acquisition.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
A forward model of optic flow for detecting external forces.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Building Portable Options: Skill Transfer in Reinforcement Learning.
Proceedings of the IJCAI 2007, 2007

2006
Language performance at high school and success in first year computer science.
Proceedings of the 37th SIGCSE Technical Symposium on Computer Science Education, 2006

An Adaptive Robot Motivational System.
Proceedings of the From Animals to Animats 9, 2006

Autonomous shaping: knowledge transfer in reinforcement learning.
Proceedings of the Machine Learning, 2006

2005
An Architecture for Behavior-Based Reinforcement Learning.
Adapt. Behav., 2005

METAMorph: Experimenting with Genetic Regulatory Networks for Artificial Development.
Proceedings of the Advances in Artificial Life, 8th European Conference, 2005

2004
HydroGen: Automatically Generating Self-Assembly Code for Hydron Units.
Proceedings of the Distributed Autonomous Robotic Systems 6, 2004


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