Daniel S. Brown

RLJ, 2024

Can Differentiable Decision Trees Enable Interpretable Reward Learning from Human Feedback?

[BibT_eX]

Akansha Kalra

RLJ, 2024

ROIL: Robust Offline Imitation Learning without Trajectories.

[BibT_eX]

RLJ, 2024

Modeling Kinematic Uncertainty of Tendon-Driven Continuum Robots via Mixture Density Networks.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Medical Robotics, 2024

Reward Learning from Suboptimal Demonstrations with Applications in Surgical Electrocautery.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Medical Robotics, 2024

Bayesian Constraint Inference from User Demonstrations Based on Margin-Respecting Preference Models.

[BibT_eX]

[DOI]

Dimitris Papadimitriou

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Spiking Neural Networks as a Controller for Emergent Swarm Agents.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Neuromorphic Systems, 2024

Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Tu Trinh

Haoyu Chen

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023

Benchmarks and Algorithms for Offline Preference-Based Reward Learning.

[BibT_eX]

[DOI]

Daniel Shin

Anca D. Dragan

Trans. Mach. Learn. Res., 2023

Swarm Mechanics and Swarm Chemistry: A Transdisciplinary Approach for Robot Swarms.

[BibT_eX]

[DOI]

CoRR, 2023

Can Differentiable Decision Trees Learn Interpretable Reward Functions?

[BibT_eX]

[DOI]

Akansha Kalra

CoRR, 2023

Exploring Behavior Discovery Methods for Heterogeneous Swarms of Limited-Capability Robots.

[BibT_eX]

[DOI]

Connor Mattson

Jeremy C. Clark

Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2023

Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Contextual Reliability: When Different Features Matter in Different Contexts.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Causal Confusion and Reward Misidentification in Preference-Based Reward Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SIRL: Similarity-based Implicit Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

Leveraging Human Feedback to Evolve and Discover Novel Emergent Behaviors in Robot Swarms.

[BibT_eX]

[DOI]

Connor Mattson

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Quantifying Assistive Robustness Via the Natural-Adversarial Frontier.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

Player-Centric Procedural Content Generation: Enhancing Runtime Customization by Integrating Real-Time Player Feedback.

[BibT_eX]

[DOI]

Nancy N. Blackburn

M. Gardone

Proceedings of the Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 2023

The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Bayesian Methods for Constraint Inference in Reinforcement Learning.

[BibT_eX]

[DOI]

Dimitris Papadimitriou

Usman Anwar

Trans. Mach. Learn. Res., 2022

Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Tu Trinh

CoRR, 2022

A Study of Causal Confusion in Preference-Based Reward Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Teaching Robots to Span the Space of Functional Expressive Motion.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

LEGS: Learning Efficient Grasp Sets for Exploratory Grasping.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning Representations that Enable Generalization in Assistive Tasks.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

Offline Preference-Based Apprenticeship Learning.

[BibT_eX]

[DOI]

Daniel Shin

CoRR, 2021

Optimal Cost Design for Model Predictive Control.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Situational Confidence Assistance for Lifelong Shared Autonomy.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Dynamically Switching Human Prediction Models for Efficient Planning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Policy Gradient Bayesian Robust Optimization for Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Value Alignment Verification.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

LazyDAgger: Reducing Context Switching in Interactive Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

Kit-Net: Self-Supervised Learning to Kit Novel 3D Objects into Novel 3D Cavities.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

Value Alignment Verification.

[BibT_eX]

[DOI]

Jordan Schneider

CoRR, 2020

Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects.

[BibT_eX]

[DOI]

CoRR, 2020

Bayesian Robust Optimization for Imitation Learning.

[BibT_eX]

[DOI]

Marek Petrik

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Deep Bayesian Reward Learning from Preferences.

[BibT_eX]

[DOI]

CoRR, 2019

Ranking-Based Reward Extrapolation without Rankings.

[BibT_eX]

[DOI]

Wonjoon Goo

CoRR, 2019

Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations.

[BibT_eX]

[DOI]

Wonjoon Goo

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

LAAIR: A Layered Architecture for Autonomous Interactive Robots.

[BibT_eX]

[DOI]

CoRR, 2018

Risk-Aware Active Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Yuchen Cui

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Exact and Heuristic Algorithms for Risk-Aware Stochastic Physical Search.

[BibT_eX]

[DOI]

Comput. Intell., 2017

Toward Probabilistic Safety Bounds for Robot Learning from Demonstration.

[BibT_eX]

[DOI]

Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017

2016

Two invariants of human-swarm interaction.

[BibT_eX]

[DOI]

J. Hum. Robot Interact., 2016

Classifying swarm behavior via compressive subspace learning.

[BibT_eX]

[DOI]

Matthew Berger

Lee M. Seversky

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Discovery and Exploration of Novel Swarm Behaviors Given Limited Robot Capabilities.

[BibT_eX]

[DOI]

Proceedings of the Distributed Autonomous Robotic Systems, 2016

2015

Multiobjective Optimization for the Stochastic Physical Search Problem.

[BibT_eX]

[DOI]

Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

k-Agent Sufficiency for Multiagent Stochastic Physical Search Problems.

[BibT_eX]

[DOI]

Steven Loscalzo

Nathaniel Gemelli

Proceedings of the Algorithmic Decision Theory - 4th International Conference, 2015

2014

Balancing human and inter-agent influences for shared control of bio-inspired collectives.

[BibT_eX]

[DOI]

Shin-Young Jun

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Human-swarm interactions based on managing attractors.

[BibT_eX]

[DOI]

Sean C. Kerman

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2014

Limited bandwidth recognition of collective behaviors in bio-inspired swarms.

[BibT_eX]

[DOI]

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013

Shaping Couzin-Like Torus Swarms through Coordinated Mediation.

[BibT_eX]

[DOI]

Shin-Young Jun