Ching-An Cheng

Allen Nie

Adith Swaminathan

CoRR, 2024

The Importance of Directional Feedback for LLM-based Optimizers.

[BibT_eX]

[DOI]

CoRR, 2024

Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences.

[BibT_eX]

[DOI]

CoRR, 2024

PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem.

[BibT_eX]

[DOI]

CoRR, 2024

PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Offline RL by Blending Heuristics.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

LLF-Bench: Benchmark for Interactive Learning from Language Feedback.

[BibT_eX]

[DOI]

CoRR, 2023

Interactive Robot Learning from Verbal Correction.

[BibT_eX]

[DOI]

CoRR, 2023

PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining.

[BibT_eX]

[DOI]

CoRR, 2023

Survival Instinct in Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adversarial Model for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hindsight Learning for MDPs with Exogenous Inputs.

[BibT_eX]

[DOI]

Sean R. Sinclair

Felipe Vieira Frujeri

Hugo de Oliveira Barbalho

Luke Marshall

Proceedings of the International Conference on Machine Learning, 2023

Provable Reset-free Reinforcement Learning by No-Regret Reduction.

[BibT_eX]

[DOI]

Hoai-An Nguyen

Proceedings of the International Conference on Machine Learning, 2023

MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations.

[BibT_eX]

[DOI]

Anqi Li

Proceedings of the International Conference on Machine Learning, 2023

Provably Efficient Lifelong Reinforcement Learning with Linear Representation.

[BibT_eX]

[DOI]

Sanae Amani

Lin Yang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining.

[BibT_eX]

[DOI]

Garrett Thomas

Ricky Loynd

Felipe Vieira Frujeri

Vibhav Vineet

Mihai Jalobeanu

Proceedings of the Conference on Robot Learning, 2023

Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control.

[BibT_eX]

[DOI]

Philippe Hansen-Estruch

Proceedings of the Conference on Robot Learning, 2023

2022

ARMOR: A Model-based Framework for Improving Arbitrary Baseline Policies with Offline Data.

[BibT_eX]

[DOI]

CoRR, 2022

Hindsight Learning for MDPs with Exogenous Inputs.

[BibT_eX]

[DOI]

CoRR, 2022

Provably Efficient Lifelong Reinforcement Learning with Linear Function Approximation.

[BibT_eX]

[DOI]

Sanae Amani

Lin F. Yang

CoRR, 2022

MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control.

[BibT_eX]

[DOI]

Nolan Wagener

Felipe Vieira Frujeri

Ricky Loynd

Matthew J. Hausknecht

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

Adversarially Trained Actor Critic for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

RMPflow: A Geometric Framework for Generation of Multitask Motion Policies.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2021

Explaining fast improvement in online imitation learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

RMP2: A Structured Composable Policy Class for Robot Learning.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Bellman-consistent Pessimism for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Heuristic-Guided Reinforcement Learning.

[BibT_eX]

[DOI]

Adith Swaminathan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Safe Reinforcement Learning Using Advantage-Based Intervention.

[BibT_eX]

[DOI]

Nolan Wagener

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

Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation.

[BibT_eX]

[DOI]

Andrea Zanette

Alekh Agarwal

Proceedings of the Conference on Learning Theory, 2021

2020

Imitation learning for agile autonomous driving.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2020

RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies.

[BibT_eX]

[DOI]

CoRR, 2020

Explaining Fast Improvement in Online Policy Optimization.

[BibT_eX]

[DOI]

CoRR, 2020

Policy Improvement from Multiple Experts.

[BibT_eX]

[DOI]

Alekh Agarwal

CoRR, 2020

Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks.

[BibT_eX]

[DOI]

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

Policy Improvement via Imitation of Multiple Oracles.

[BibT_eX]

[DOI]

Alekh Agarwal

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

Extending Riemmanian Motion Policies to a Class of Underactuated Wheeled-Inverted-Pendulum Robots.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Online Learning with Continuous Variations: Dynamic Regret and Reductions.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

A Reduction from Reinforcement Learning to No-Regret Online Learning.

[BibT_eX]

[DOI]

Remi Tachet des Combes

Geoffrey J. Gordon

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Continuous Online Learning and New Insights to Online Imitation Learning.

[BibT_eX]

[DOI]

CoRR, 2019

An Online Learning Approach to Model Predictive Control.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XV, 2019

Predictor-Corrector Policy Optimization.

[BibT_eX]

[DOI]

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

Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping.

[BibT_eX]

[DOI]

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

Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods.

[BibT_eX]

[DOI]

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

Stable, Concurrent Controller Composition for Multi-Objective Robotic Tasks.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Truncated Back-propagation for Bilevel Optimization.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Accelerating Imitation Learning with Predictive Models.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

RMPflow: A Computational Graph for Automatic Motion Policy Generation.

[BibT_eX]

[DOI]

CoRR, 2018

Model-Based Imitation Learning with Accelerated Convergence.

[BibT_eX]

[DOI]

CoRR, 2018

RMP<i>flow</i>: A Computational Graph for Automatic Motion Policy Generation.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Fast Policy Learning through Imitation and Reinforcement.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Agile Autonomous Driving using End-to-End Deep Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIV, 2018

Orthogonally Decoupled Variational Gaussian Processes.

[BibT_eX]

[DOI]

Hugh Salimbeni

Marc Peter Deisenroth

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Optical Sensing and Control Methods for Soft Pneumatically Actuated Robotic Manipulators.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Convergence of Value Aggregation for Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Agile Off-Road Autonomous Driving Using End-to-End Deep Imitation Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Variational Inference for Gaussian Process Models with Linear Complexity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Approximately optimal continuous-time motion planning and control via Probabilistic Inference.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Learning the Inverse Dynamics of Robotic Manipulators in Structured Reproducing Kernel Hilbert Space.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2016

Learn the Lagrangian: A Vector-Valued RKHS Approach to Identifying Lagrangian Systems.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2016

Virtual Impedance Control for Safe Human-Robot Interaction.

[BibT_eX]

[DOI]

Sheng-Yen Lo

J. Intell. Robotic Syst., 2016

Incremental Variational Sparse Gaussian Process Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Efficient grasp synthesis and control strategy for robot hand-arm system.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

Humanoid robot push-recovery strategy based on CMP criterion and angular momentum regulation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2015

2013

Self-learning assistive exoskeleton with sliding mode admittance control.

[BibT_eX]

[DOI]

Tzu-Hao Huang

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Bayesian human intention estimator for exoskeleton system.

[BibT_eX]

[DOI]

Tzu-Hao Huang