Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic

13 February 2020

Yangang Ren

Jingliang Duan

Shengbo Eben Li

Yang Guan

Qi Sun

OffRL

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Papers citing "Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic"

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Title
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions Olivia Macmillan-Scott Mirco Musolesi 63 1 0 28 Nov 2023
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors Jingliang Duan Yang Guan Shengbo Eben Li Yangang Ren B. Cheng OffRL 46 178 0 09 Jan 2020
Centralized Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization Yang Guan Yangang Ren Shengbo Eben Li Qi Sun Laiquan Luo Keqiang Li 23 6 0 18 Dec 2019
Risk Averse Robust Adversarial Reinforcement Learning Xinlei Pan Daniel Seita Yang Gao John F. Canny AAML 49 96 0 31 Mar 2019
Investigating Generalisation in Continuous Deep Reinforcement Learning Chenyang Zhao Olivier Sigaud F. Stulp Timothy M. Hospedales OffRL 56 48 0 19 Feb 2019
A Comparative Analysis of Expected and Distributional Reinforcement Learning Clare Lyle Pablo Samuel Castro Marc G. Bellemare OffRL 50 81 0 30 Jan 2019
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun D. Song OffRL 101 237 0 29 Oct 2018
Composable Deep Reinforcement Learning for Robotic Manipulation Tuomas Haarnoja Vitchyr H. Pong Aurick Zhou Murtaza Dalal Pieter Abbeel Sergey Levine 116 233 0 19 Mar 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 292 8,329 0 04 Jan 2018
Robust Deep Reinforcement Learning with Adversarial Attacks Anay Pattanaik Zhenyi Tang Shuijing Liu Gautham Bommannan Girish Chowdhary OOD 54 305 0 11 Dec 2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 99 1,363 0 18 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 463 19,006 0 20 Jul 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 93 854 0 08 Mar 2017
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles Aravind Rajeswaran Sarvjeet Ghotra Balaraman Ravindran Sergey Levine 163 351 0 05 Oct 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 191 8,850 0 04 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,755 0 20 Nov 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 212 3,787 0 18 Nov 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 318 13,234 0 09 Sep 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,764 0 19 Feb 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 264 19,045 0 20 Dec 2014
Optimizing the CVaR via Sampling Aviv Tamar Yonatan Glassner Shie Mannor 77 186 0 15 Apr 2014