Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

4 January 2018

Pieter Abbeel

Papers citing "Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor"

48 / 1,748 papers shown

Title
Model-free Deep Reinforcement Learning for Urban Autonomous Driving Jianyu Chen Bodi Yuan Masayoshi Tomizuka 30 262 0 20 Apr 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering Avi Singh Larry Yang Kristian Hartikainen Chelsea Finn Sergey Levine SSL OffRL 46 266 0 16 Apr 2019
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping Mengyuan Yan A. Li Mrinal Kalakrishnan P. Pastor 15 18 0 15 Apr 2019
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search Linnan Wang Yiyang Zhao Yuu Jinnai Yuandong Tian Rodrigo Fonseca BDL 25 95 0 26 Mar 2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies Riley Simmons-Edler Ben Eisner E. Mitchell Sebastian Seung Daniel D. Lee 49 28 0 25 Mar 2019
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics Denis Steckelmacher Hélène Plisnier D. Roijers A. Nowé OffRL 31 17 0 11 Mar 2019
Sim-to-Real Transfer for Biped Locomotion Wenhao Yu Visak C. V. Kumar Greg Turk Chenxi Liu 17 114 0 04 Mar 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms Justin Fu Aviral Kumar Matthew Soh Sergey Levine OffRL 24 142 0 26 Feb 2019
Investigating Generalisation in Continuous Deep Reinforcement Learning Chenyang Zhao Olivier Sigaud F. Stulp Timothy M. Hospedales OffRL 27 48 0 19 Feb 2019
Artificial Intelligence for Prosthetics - challenge solutions L. Kidzinski Carmichael F. Ong Sharada Mohanty Jennifer Hicks Sean F. Carroll ... E. Tumer J. Watson M. Salathé Sergey Levine Scott L. Delp 20 40 0 07 Feb 2019
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning Kyungjae Lee Sungyub Kim Sungbin Lim Sungjoon Choi Songhwai Oh 32 28 0 31 Jan 2019
A Theory of Regularized Markov Decision Processes Matthieu Geist B. Scherrer Olivier Pietquin 39 316 0 31 Jan 2019
InfoBot: Transfer and Exploration via the Information Bottleneck Anirudh Goyal Riashat Islam Daniel Strouse Zafarali Ahmed M. Botvinick Hugo Larochelle Yoshua Bengio Sergey Levine OffRL 14 166 0 30 Jan 2019
Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang Shipra Agrawal OffRL 26 119 0 29 Jan 2019
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning Ying Wen Yaodong Yang Rui Luo Jun Wang LRM 37 52 0 26 Jan 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution Chunyuan Li Ke Bai Jianqiao Li Guoyin Wang Changyou Chen Lawrence Carin 21 10 0 03 Jan 2019
Learning to Walk via Deep Reinforcement Learning Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine 54 433 0 26 Dec 2018
TD-Regularized Actor-Critic Methods Simone Parisi Voot Tangkaratt Jan Peters Mohammad Emtiyaz Khan OffRL 32 31 0 19 Dec 2018
Residual Reinforcement Learning for Robot Control T. Johannink Shikhar Bahl Ashvin Nair Jianlan Luo Avinash Kumar M. Loskyll J. A. Ojea Eugen Solowjow Sergey Levine OffRL 35 410 0 07 Dec 2018
Provably Efficient Maximum Entropy Exploration Elad Hazan Sham Kakade Karan Singh A. V. Soest 36 295 0 06 Dec 2018
Relative Entropy Regularized Policy Iteration A. Abdolmaleki Jost Tobias Springenberg Jonas Degrave Steven Bohez Yuval Tassa Dan Belov N. Heess Martin Riedmiller 27 72 0 05 Dec 2018
Generative Adversarial Self-Imitation Learning Yijie Guo Junhyuk Oh Satinder Singh Honglak Lee GAN 29 58 0 03 Dec 2018
VIREL: A Variational Inference Framework for Reinforcement Learning M. Fellows Anuj Mahajan Tim G. J. Rudner Shimon Whiteson DRL 38 54 0 03 Nov 2018
Model-Based Active Exploration Pranav Shyam Wojciech Ja'skowski Faustino J. Gomez 35 179 0 29 Oct 2018
Variational Inference with Tail-adaptive f-Divergence Dilin Wang Hao Liu Qiang Liu 27 55 0 29 Oct 2018
Establishing Appropriate Trust via Critical States Sandy H. Huang Kush S. Bhatia Pieter Abbeel Anca Dragan OffRL 32 108 0 18 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 48 555 0 12 Oct 2018
Actor-Attention-Critic for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 29 739 0 05 Oct 2018
Boosting Trust Region Policy Optimization by Normalizing Flows Policy Yunhao Tang Shipra Agrawal TPM 39 29 0 27 Sep 2018
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning Antonin Raffin Ashley Hill Kalifou René Traoré Timothée Lesort Natalia Díaz Rodríguez David Filliat OffRL 21 35 0 25 Sep 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning Ilya Kostrikov Kumar Krishna Agrawal Debidatta Dwibedi Sergey Levine Jonathan Tompson 43 257 0 09 Sep 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 44 809 0 07 Sep 2018
Policy Optimization as Wasserstein Gradient Flows Ruiyi Zhang Changyou Chen Chunyuan Li Lawrence Carin 33 66 0 09 Aug 2018
ToriLLE: Learning Environment for Hand-to-Hand Combat Anssi Kanervisto Ville Hautamaki 34 2 0 26 Jul 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 54 106 0 12 Jun 2018
Supervised Policy Update for Deep Reinforcement Learning Q. Vuong Yiming Zhang Keith Ross 19 20 0 29 May 2018
A0C: Alpha Zero in Continuous Action Space Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker 29 48 0 24 May 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 73 798 0 21 May 2018
Constrained Policy Improvement for Safe and Efficient Reinforcement Learning Elad Sarafian Aviv Tamar Sarit Kraus OffRL 34 11 0 20 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 33 663 0 02 May 2018
Composable Deep Reinforcement Learning for Robotic Manipulation Tuomas Haarnoja Vitchyr H. Pong Aurick Zhou Murtaza Dalal Pieter Abbeel Sergey Levine 32 230 0 19 Mar 2018
Imitation Learning with Concurrent Actions in 3D Games Jack Harmer Linus Gisslén Jorge del Val Henrik Holst Joakim Bergdahl Tom Olsson K. Sjöö Magnus Nordin 24 45 0 14 Mar 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 21 72 0 13 Mar 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms Cédric Colas Olivier Sigaud Pierre-Yves Oudeyer 29 158 0 14 Feb 2018
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning Zhang-Wei Hong Tzu-Yun Shann Shih-Yang Su Yi-Hsiang Chang Chun-Yi Lee 18 122 0 13 Feb 2018
Expected Policy Gradients for Reinforcement Learning K. Ciosek Shimon Whiteson 50 51 0 10 Jan 2018
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation Bo Dai Albert Eaton Shaw Lihong Li Lin Xiao Niao He Zhen Liu Jianshu Chen Le Song 39 25 0 29 Dec 2017
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning Felix Leibfried Jordi Grau-Moya Haitham Bou-Ammar 40 24 0 06 Aug 2017