Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization

1 March 2016

Pieter Abbeel

Papers citing "Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization"

50 / 221 papers shown

Title
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations Yiwen Qiu Jialong Wu Zhangjie Cao Mingsheng Long 31 3 0 13 Nov 2022
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games Viet The Bui Tien Mai T. Nguyen AAML 38 5 0 30 Oct 2022
Environment Design for Inverse Reinforcement Learning Thomas Kleine Buening Victor Villin Christos Dimitrakakis 37 1 0 26 Oct 2022
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook Baihan Lin OffRL AI4TS 37 27 0 24 Oct 2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving Eli Bronstein Mark Palatucci Dominik Notz Brandyn White Alex Kuefler ... Punit Shah Evan Racah Benjamin Frenkel Shimon Whiteson Drago Anguelov 50 58 0 18 Oct 2022
Learning Skills from Demonstrations: A Trend from Motion Primitives to Experience Abstraction Mehrdad Tavassoli S. Katyara Maria Pozzi Nikhil Deshpande D. Caldwell D. Prattichizzo 38 11 0 14 Oct 2022
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations N. Vadori Leo Ardon Sumitra Ganesh Thomas Spooner Selim Amrouni Jared Vann Mengda Xu Zeyu Zheng T. Balch Manuela Veloso 25 16 0 13 Oct 2022
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks Xiaowu Sun Yasser Shoukry 53 11 0 11 Oct 2022
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong 45 42 0 04 Oct 2022
Task-Agnostic Learning to Accomplish New Tasks Xianqi Zhang Xingtao Wang Xu Liu Wenrui Wang Xiaopeng Fan Debin Zhao OffRL 91 0 0 09 Sep 2022
Weighted Maximum Entropy Inverse Reinforcement Learning Viet The Bui Tien Mai Patrick Jaillet 27 0 0 20 Aug 2022
Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination A. Mohtasib Gerhard Neumann Heriberto Cuayáhuitl OffRL 44 2 0 31 Jul 2022
Improving Policy Optimization with Generalist-Specialist Learning Zhiwei Jia Xuanlin Li Z. Ling Shuang Liu Yiran Wu H. Su OffRL 32 24 0 26 Jun 2022
Model-based Offline Imitation Learning with Non-expert Data Jeongwon Park Lin F. Yang OffRL 45 1 0 11 Jun 2022
Receding Horizon Inverse Reinforcement Learning Yiqing Xu Wei Gao David Hsu 29 14 0 09 Jun 2022
SARI: Shared Autonomy across Repeated Interaction Ananth Jonnavittula Shaunak A. Mehta Dylan P. Losey 40 10 0 19 May 2022
Aligning Robot Representations with Humans Andreea Bobu Andi Peng 32 0 0 15 May 2022
Learning Implicit Priors for Motion Optimization Julen Urain An T. Le Alexander Lambert Georgia Chalvatzaki Byron Boots Jan Peters 30 24 0 11 Apr 2022
X-MEN: Guaranteed XOR-Maximum Entropy Constrained Inverse Reinforcement Learning Fan Ding Yeiang Xue 6 7 0 22 Mar 2022
A Primer on Maximum Causal Entropy Inverse Reinforcement Learning Adam Gleave Sam Toyer 29 13 0 22 Mar 2022
Combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task Vittorio Giammarino Matthew F. Dunne Kylie N. Moore Michael Hasselmo Chantal E. Stern I. Paschalidis OffRL 41 5 0 11 Mar 2022
Generalizable task representation learning from human demonstration videos: a geometric approach Jun Jin Martin Jägersand 13 5 0 28 Feb 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share? Alain Andres Esther Villar-Rodriguez Javier Del Ser 22 9 0 24 Feb 2022
Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search Karl Kurzer M. Bitzer J. Marius Zöllner 16 6 0 14 Feb 2022
A Ranking Game for Imitation Learning Harshit S. Sikchi Akanksha Saran Wonjoon Goo S. Niekum OffRL 30 22 0 07 Feb 2022
Safe Deep RL in 3D Environments using Human Feedback Matthew Rahtz Vikrant Varma Ramana Kumar Zachary Kenton Shane Legg Jan Leike 37 4 0 20 Jan 2022
Inducing Structure in Reward Learning by Learning Features Andreea Bobu Marius Wiggert Claire Tomlin Anca Dragan 34 30 0 18 Jan 2022
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning Keuntaek Lee David Isele Evangelos A. Theodorou S. Bae 37 24 0 17 Jan 2022
Multiagent Model-based Credit Assignment for Continuous Control Dongge Han Chris Xiaoxuan Lu Tomasz P. Michalak Michael Wooldridge 27 5 0 27 Dec 2021
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles Won Joon Yun Myungjae Shin Soyi Jung S. Kwon Joongheon Kim 27 5 0 26 Dec 2021
Programmatic Reward Design by Example Weichao Zhou Wenchao Li 34 15 0 14 Dec 2021
Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft Vinicius G. Goecks Nicholas R. Waytowich David Watkins Bharat Prakash 18 7 0 07 Dec 2021
Sample Efficient Imitation Learning via Reward Function Trained in Advance Lihua Zhang 30 1 0 23 Nov 2021
Versatile Inverse Reinforcement Learning via Cumulative Rewards Niklas Freymuth P. Becker Gerhard Neumann 30 4 0 15 Nov 2021
Learning Perceptual Concepts by Bootstrapping from Human Queries Andreea Bobu Chris Paxton Wei Yang Balakumar Sundaralingam Yu-Wei Chao Maya Cakmak Dieter Fox SSL 38 17 0 09 Nov 2021
Smooth Imitation Learning via Smooth Costs and Smooth Policies Sapana Chaudhary Balaraman Ravindran 24 1 0 03 Nov 2021
Curriculum Offline Imitation Learning Minghuan Liu Hanye Zhao Zhengyu Yang Jian Shen Weinan Zhang Li Zhao Tie-Yan Liu OffRL 29 1 0 03 Nov 2021
Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain Yachen Kang Jinxin Liu Xin Cao Donglin Wang 23 3 0 21 Oct 2021
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System M. Schultheis Dominik Straub Constantin Rothkopf 19 20 0 21 Oct 2021
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning Yantian Zha L. Guan Subbarao Kambhampati 31 5 0 11 Oct 2021
Training Transition Policies via Distribution Matching for Complex Tasks Ju-Seung Byun Andrew Perrault 13 6 0 08 Oct 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu Suraj Nair Li Fei-Fei Chelsea Finn OffRL LM&Ro 50 24 0 21 Sep 2021
Imitation Learning by Reinforcement Learning K. Ciosek 33 18 0 10 Aug 2021
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning A. Mohtasib Gerhard Neumann Heriberto Cuayáhuitl 23 16 0 06 Aug 2021
A Pragmatic Look at Deep Imitation Learning Kai Arulkumaran D. Lillrank 35 9 0 04 Aug 2021
The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior Bassam Helou Aditya Dusi Anne-Sophie Collin N. Mehdipour Zhiliang Chen Cristhian G. Lizarazo C. Belta Tichakorn Wongpiromsarn R. D. Tebbens Oscar Beijbom 29 21 0 28 Jul 2021
Visual Adversarial Imitation Learning using Variational Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn SSL 33 49 0 16 Jul 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 86 28 0 13 Jul 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision Vitchyr H. Pong Ashvin Nair Laura M. Smith Catherine Huang Sergey Levine OffRL 39 66 0 08 Jul 2021
Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections Dylan P. Losey Andrea V. Bajcsy M. O'Malley Anca Dragan 14 36 0 06 Jul 2021