Trust Region-Based Safe Distributional Reinforcement Learning for
Multiple Constraints

v1v2 (latest)

Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints

26 January 2023

ArXiv (abs)PDF HTML Github (18★)

Papers citing "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints"

18 / 18 papers shown

Title
TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning Dohyeong Kim Songhwai Oh 69 20 0 01 Dec 2023
Learning robust perceptive locomotion for quadrupedal robots in the wild Takahiro Miki Joonho Lee Jemin Hwangbo Lorenz Wellhausen V. Koltun Marco Hutter 133 713 0 20 Jan 2022
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning Nikita Rudin David Hoeller Philipp Reist Marco Hutter 255 582 0 24 Sep 2021
GMAC: A Distributional Perspective on Actor-Critic Framework D. W. Nam Younghoon Kim Chan Y. Park 51 17 0 24 May 2021
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee Tengyu Xu Yingbin Liang Guanghui Lan 76 126 0 11 Nov 2020
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones Brijen Thananjeyan Ashwin Balakrishna Suraj Nair Michael Luo K. Srinivasan M. Hwang Joseph E. Gonzalez Julian Ibarz Chelsea Finn Ken Goldberg OffRL 82 230 0 29 Oct 2020
Conservative Safety Critics for Exploration Homanga Bharadhwaj Aviral Kumar Nicholas Rhinehart Sergey Levine Florian Shkurti Animesh Garg OffRL 92 139 0 27 Oct 2020
Learning Quadrupedal Locomotion over Challenging Terrain Joonho Lee Jemin Hwangbo Lorenz Wellhausen V. Koltun Marco Hutter 148 1,177 0 21 Oct 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods Adam Stooke Joshua Achiam Pieter Abbeel 81 300 0 08 Jul 2020
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics Arsenii Kuznetsov Pavel Shvechikov Alexander Grishin Dmitry Vetrov 234 195 0 08 May 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 189 1,230 0 19 Jan 2020
IPO: Interior-point Policy Optimization under Constraints Yongshuai Liu J. Ding Xin Liu 87 182 0 21 Oct 2019
Implicit Quantile Networks for Distributional Reinforcement Learning Will Dabney Georg Ostrovski David Silver Rémi Munos OffRL 139 532 0 14 Jun 2018
Feedback Control For Cassie With Deep Reinforcement Learning Zhaoming Xie Glen Berseth Patrick Clary J. Hurst M. van de Panne 65 175 0 15 Mar 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,420 0 04 Jan 2018
Distributional Reinforcement Learning with Quantile Regression Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos 94 764 0 27 Oct 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 101 1,506 0 21 Jul 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 132 1,335 0 30 May 2017