Inverse Reinforcement Learning without Reinforcement Learning

26 March 2023

Papers citing "Inverse Reinforcement Learning without Reinforcement Learning"

24 / 24 papers shown

Title
Perception in Reflection Yana Wei Liang Zhao Kangheng Lin En Yu Yuang Peng ... Jianjian Sun Haoran Wei Zheng Ge Xiangyu Zhang Vishal M. Patel 31 0 0 09 Apr 2025
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic Stefano Viel Luca Viano V. Cevher 74 0 0 27 Feb 2025
Your Learned Constraint is Secretly a Backward Reachable Tube Mohamad Qadri Gokul Swamy Jonathan Francis Michael Kaess Andrea Bajcsy 29 2 0 28 Jan 2025
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching A. Jain Harley Wiltzer Jesse Farebrother Irina Rish Glen Berseth Sanjiban Choudhury 39 1 0 11 Nov 2024
Improving Trust Estimation in Human-Robot Collaboration Using Beta Reputation at Fine-grained Timescales Resul Dagdanov Milan Andrejevic Dikai Liu Chin-Teng Lin 21 0 0 04 Nov 2024
NeRF-Aug: Data Augmentation for Robotics with Neural Radiance Fields Eric Zhu Mara Levy M. Gwilliam Abhinav Shrivastava 40 0 0 04 Nov 2024
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation Tian Xu Zhilong Zhang Ruishuo Chen Yihao Sun Yang Yu 25 1 0 01 Nov 2024
Unlocking the Potential of Global Human Expertise Elliot Meyerson Olivier Francon Darren Sargent B. Hodjat Risto Miikkulainen 35 2 0 31 Oct 2024
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminates Shicheng Liu Minghui Zhu 49 0 0 21 Oct 2024
Diffusing States and Matching Scores: A New Framework for Imitation Learning Runzhe Wu Yiding Chen Gokul Swamy Kianté Brantley Wen Sun DiffM 37 3 0 17 Oct 2024
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF Zhaolin Gao Wenhao Zhan Jonathan D. Chang Gokul Swamy Kianté Brantley Jason D. Lee Wen Sun OffRL 56 3 0 06 Oct 2024
Hybrid Reinforcement Learning from Offline Observation Alone Yuda Song J. Andrew Bagnell Aarti Singh OffRL 71 2 0 11 Jun 2024
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard Jingwu Tang Gokul Swamy Fei Fang Zhiwei Steven Wu 18 1 0 06 Jun 2024
Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding Kuo Liao Shuang Li Meng Zhao Liqun Liu Mengge Xue Zhenyu Hu Honglin Han Chengguo Yin 30 1 0 30 May 2024
Diffusion-Reward Adversarial Imitation Learning Chun-Mao Lai Hsiang-Chun Wang Ping-Chun Hsieh Yu-Chiang Frank Wang Min-Hung Chen Shao-Hua Sun 24 8 0 25 May 2024
Imitation Learning in Discounted Linear MDPs without exploration assumptions Luca Viano Stratis Skoulakis V. Cevher 25 3 0 03 May 2024
REBEL: Reinforcement Learning via Regressing Relative Rewards Zhaolin Gao Jonathan D. Chang Wenhao Zhan Owen Oertell Gokul Swamy Kianté Brantley Thorsten Joachims J. Andrew Bagnell Jason D. Lee Wen Sun OffRL 30 31 0 25 Apr 2024
Rethinking Adversarial Inverse Reinforcement Learning: Policy Imitation, Transferable Reward Recovery and Algebraic Equilibrium Proof Yangchun Zhang Qiang Liu Weiming Li Yirui Zhou 25 0 0 21 Mar 2024
The Virtues of Pessimism in Inverse Reinforcement Learning David Wu Gokul Swamy J. Andrew Bagnell Zhiwei Steven Wu Sanjiban Choudhury 17 0 0 04 Feb 2024
A Minimaximalist Approach to Reinforcement Learning from Human Feedback Gokul Swamy Christoph Dann Rahul Kidambi Zhiwei Steven Wu Alekh Agarwal OffRL 28 94 0 08 Jan 2024
Learning Covariances for Estimation with Constrained Bilevel Optimization Mohamad Qadri Zachary Manchester Michael Kaess 11 4 0 18 Sep 2023
Learning Shared Safety Constraints from Multi-task Demonstrations Konwoo Kim Gokul Swamy Zuxin Liu Ding Zhao Sanjiban Choudhury Zhiwei Steven Wu 18 14 0 01 Sep 2023
Massively Scalable Inverse Reinforcement Learning in Google Maps Matt Barnes Matthew Abueg Oliver F. Lange Matt Deeds Jason M. Trader Denali Molitor Markus Wulfmeier S. O’Banion 17 5 0 18 May 2023
Diffusion Model-Augmented Behavioral Cloning Shangcheng Chen Hsiang-Chun Wang Ming-Hao Hsu Chun-Mao Lai Shao-Hua Sun DiffM 36 30 0 26 Feb 2023