Environment Design for Inverse Reinforcement Learning

26 October 2022

Papers citing "Environment Design for Inverse Reinforcement Learning"

34 / 34 papers shown

Title
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation Ruida Zhou Tao-Wen Liu Min Cheng D. Kalathil P. R. Kumar Chao Tian 77 23 0 17 Jul 2023
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks Maxime Chevalier-Boisvert Bolun Dai Mark Towers Rodrigo de Lazcano Lucas Willems Salem Lahlou Suman Pal Pablo Samuel Castro Jordan Terry VGen 85 204 0 24 Jun 2023
Minimax-Bayes Reinforcement Learning Thomas Kleine Buening Christos Dimitrakakis Hannes Eriksson Divya Grover Emilio Jorge OffRL 40 5 0 21 Feb 2023
imitation: Clean Imitation Learning Implementations Adam Gleave Mohammad Taufeeque Juan Rocamonde Erik Jenner Steven H. Wang Sam Toyer M. Ernestus Nora Belrose Scott Emmons Stuart J. Russell MLAU 117 31 0 22 Nov 2022
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning Paul Rolland Luca Viano Norman Schuerhoff Boris Nikolov Volkan Cevher OffRL 62 14 0 22 Sep 2022
Active Exploration for Inverse Reinforcement Learning David Lindner Andreas Krause Giorgia Ramponi 60 26 0 18 Jul 2022
Robust Imitation Learning against Variations in Environment Dynamics Jongseong Chae Seungyul Han Whiyoung Jung Myungsik Cho Sungho Choi Young-Jin Sung OOD 51 20 0 19 Jun 2022
Environment Generation for Zero-Shot Compositional Reinforcement Learning Izzeddin Gur Natasha Jaques Yingjie Miao Jongwook Choi Manoj Kumar Tiwari Honglak Lee Aleksandra Faust 58 43 0 21 Jan 2022
Assisted Robust Reward Design Jerry Zhi-Yang He Anca Dragan 39 9 0 18 Nov 2021
Interactive Inverse Reinforcement Learning for Cooperative Games Thomas Kleine Buening Anne-Marie George Christos Dimitrakakis 26 5 0 08 Nov 2021
Identifiability in inverse reinforcement learning Haoyang Cao Samuel N. Cohen Lukasz Szpruch 39 47 0 07 Jun 2021
Information Directed Reward Learning for Reinforcement Learning David Lindner M. Turchetta Sebastian Tschiatschek K. Ciosek Andreas Krause OffRL 42 17 0 24 Feb 2021
Scalable Bayesian Inverse Reinforcement Learning Alex J. Chan M. Schaar OffRL BDL 75 67 0 12 Feb 2021
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design Michael Dennis Natasha Jaques Eugene Vinitsky Alexandre M. Bayen Stuart J. Russell Andrew Critch Sergey Levine 78 234 0 03 Dec 2020
The MAGICAL Benchmark for Robust Imitation Sam Toyer Rohin Shah Andrew Critch Stuart J. Russell 53 36 0 01 Nov 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 226 474 0 10 Mar 2020
Reward-rational (implicit) choice: A unifying formalism for reward learning Hong Jun Jeon S. Milli Anca Dragan 64 177 0 12 Feb 2020
Solving Rubik's Cube with a Robot Hand OpenAI Ilge Akkaya Marcin Andrychowicz Maciek Chociej Ma-teusz Litwin ... Peter Welinder Lilian Weng Qiming Yuan Wojciech Zaremba Lei Zhang ODL 113 1,227 0 16 Oct 2019
Inverse Reinforcement Learning with Multiple Ranked Experts Pablo Samuel Castro Shijian Li Daqing Zhang 37 13 0 31 Jul 2019
Risk-Aware Active Inverse Reinforcement Learning Daniel S. Brown Yuchen Cui S. Niekum 62 58 0 08 Jan 2019
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress Saurabh Arora Prashant Doshi OffRL 75 607 0 18 Jun 2018
Configurable Markov Decision Processes Alberto Maria Metelli Mirco Mutti Marcello Restelli 57 36 0 14 Jun 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 124 753 0 30 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 478 19,019 0 20 Jul 2017
Reinforcement Learning under Model Mismatch Aurko Roy Huan Xu Sebastian Pokutta OOD 48 80 0 15 Jun 2017
Repeated Inverse Reinforcement Learning Kareem Amin Nan Jiang Satinder Singh 104 76 0 15 May 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 247 2,963 0 20 Mar 2017
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models Chelsea Finn Paul Christiano Pieter Abbeel Sergey Levine OffRL AI4CE GAN 62 354 0 11 Nov 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 140 3,106 0 10 Jun 2016
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization Chelsea Finn Sergey Levine Pieter Abbeel 108 948 0 01 Mar 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 318 13,237 0 09 Sep 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 308 3,434 0 02 Apr 2015
Learning to Optimize via Information-Directed Sampling Daniel Russo Benjamin Van Roy 158 283 0 21 Mar 2014
Preference elicitation and inverse reinforcement learning Constantin Rothkopf Christos Dimitrakakis BDL 74 82 0 29 Apr 2011