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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"

50 / 4,128 papers shown

Title
Learning-Driven Exploration for Reinforcement Learning Muhammad Usama D. Chang 67 11 0 17 Jun 2019
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards Gerrit Schoettler Ashvin Nair Jianlan Luo Shikhar Bahl J. A. Ojea Eugen Solowjow Sergey Levine OffRL 59 193 0 13 Jun 2019
Goal-conditioned Imitation Learning Yiming Ding Carlos Florensa Mariano Phielipp Pieter Abbeel 97 228 0 13 Jun 2019
Efficient Exploration via State Marginal Matching Lisa Lee Benjamin Eysenbach Emilio Parisotto Eric Xing Sergey Levine Ruslan Salakhutdinov 147 248 0 12 Jun 2019
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past Che Wang George Andriopoulos 51 45 0 10 Jun 2019
Transfer Learning by Modeling a Distribution over Policies Disha Shrivastava Eeshan Gunesh Dhekane Riashat Islam OOD OffRL 27 0 0 09 Jun 2019
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward Allan Zhou Eric Jang Daniel Kappler Alexander Herzog Mohi Khansari Paul Wohlhart Yunfei Bai Mrinal Kalakrishnan Sergey Levine Chelsea Finn 89 49 0 07 Jun 2019
Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies Patrick Nadeem Ward Ariella Smofsky A. Bose 79 58 0 06 Jun 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction Aviral Kumar Justin Fu George Tucker Sergey Levine OffRL OnRL 156 1,070 0 03 Jun 2019
Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks Brijen Thananjeyan Ashwin Balakrishna Ugo Rosolia Felix Li R. McAllister Joseph E. Gonzalez Sergey Levine Francesco Borrelli Ken Goldberg OffRL 92 4 0 31 May 2019
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 78 49 0 28 May 2019
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy Ruihan Yang Qiwei Ye Tie-Yan Liu 38 0 0 28 May 2019
SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards S. Reddy Anca Dragan Sergey Levine OffRL 69 52 0 27 May 2019
Interactive Differentiable Simulation Eric Heiden David Millard Hejia Zhang Gaurav Sukhatme OOD AI4CE PINN 94 50 0 26 May 2019
Composing Task-Agnostic Policies with Deep Reinforcement Learning A. H. Qureshi Jacob J. Johnson Yuzhe Qin Taylor Henderson Byron Boots Michael C. Yip OffRL 76 30 0 25 May 2019
Adaptive Symmetric Reward Noising for Reinforcement Learning R. Vivanti Talya D. Sohlberg-Baris Shlomo Cohen Orna Cohen AAML 23 1 0 24 May 2019
Neural Temporal-Difference and Q-Learning Provably Converge to Global Optima Qi Cai Zhuoran Yang Jason D. Lee Zhaoran Wang 66 32 0 24 May 2019
Distributional Policy Optimization: An Alternative Approach for Continuous Control Chen Tessler Guy Tennenholtz Shie Mannor OffRL 51 44 0 23 May 2019
Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies Domingo Esteban Leonel Rozo D. Caldwell OffRL 45 7 0 23 May 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning Rui Zhao Xudong Sun Volker Tresp 69 83 0 21 May 2019
Stochastically Dominant Distributional Reinforcement Learning John D. Martin Michal Lyskawinski Xiaohu Li Brendan Englot 66 24 0 17 May 2019
A Regularized Opponent Model with Maximum Entropy Objective Zheng Tian Ying Wen Zhichen Gong Faiz Punakkath Shihao Zou Jun Wang 52 31 0 17 May 2019
Leveraging exploration in off-policy algorithms via normalizing flows Bogdan Mazoure T. Doan A. Durand R. Devon Hjelm Joelle Pineau OnRL 70 62 0 16 May 2019
Meta reinforcement learning as task inference Jan Humplik Alexandre Galashov Leonard Hasenclever Pedro A. Ortega Yee Whye Teh N. Heess OffRL 127 128 0 15 May 2019
Learning Novel Policies For Tasks Yunbo Zhang Wenhao Yu Greg Turk 56 34 0 13 May 2019
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations Aditya Modi Debadeepta Dey Alekh Agarwal Adith Swaminathan Besmira Nushi Sean Andrist Eric Horvitz OffRL LRM 26 2 0 12 May 2019
Generalized Second Order Value Iteration in Markov Decision Processes Chandramouli Kamanchi Raghuram Bharadwaj Diddigi S. Bhatnagar 66 11 0 10 May 2019
Smoothing Policies and Safe Policy Gradients Matteo Papini Matteo Pirotta Marcello Restelli 80 31 0 08 May 2019
Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning Yuan Lin J. McPhee N. L. Azad AI4CE 69 34 0 07 May 2019
Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning Seungyul Han Y. Sung OffRL 68 20 0 07 May 2019
Information asymmetry in KL-regularized RL Alexandre Galashov Siddhant M. Jayakumar Leonard Hasenclever Dhruva Tirumala Jonathan Richard Schwarz Guillaume Desjardins Wojciech M. Czarnecki Yee Whye Teh Razvan Pascanu N. Heess OffRL 74 104 0 03 May 2019
Collaborative Evolutionary Reinforcement Learning Shauharda Khadka Somdeb Majumdar Tarek Nassar Zach Dwiel E. Tumer Santiago Miret Yinyin Liu Kagan Tumer 68 100 0 02 May 2019
DAC: The Double Actor-Critic Architecture for Learning Options Shangtong Zhang Shimon Whiteson 149 73 0 29 Apr 2019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving Jianyu Chen Bodi Yuan Masayoshi Tomizuka 75 268 0 20 Apr 2019
Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning Yuji Kanagawa Tomoyuki Kaneko 73 14 0 17 Apr 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering Avi Singh Larry Yang Kristian Hartikainen Chelsea Finn Sergey Levine SSL OffRL 108 267 0 16 Apr 2019
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping Mengyuan Yan A. Li Mrinal Kalakrishnan P. Pastor 57 18 0 15 Apr 2019
A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms Cédric Colas Olivier Sigaud Pierre-Yves Oudeyer 77 64 0 15 Apr 2019
Only Relevant Information Matters: Filtering Out Noisy Samples to Boost RL Yannis Flet-Berliac Philippe Preux 49 2 0 08 Apr 2019
Guided Meta-Policy Search Russell Mendonca Abhishek Gupta Rosen Kralev Pieter Abbeel Sergey Levine Chelsea Finn 68 57 0 01 Apr 2019
How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies? Q. Vuong Sharad Vikram H. Su Sicun Gao Henrik I. Christensen OOD 84 49 0 28 Mar 2019
Generalized Off-Policy Actor-Critic Shangtong Zhang Wendelin Bohmer Shimon Whiteson OffRL CML 151 43 0 27 Mar 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 96 96 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 103 29 0 25 Mar 2019
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning Bharat Prakash Mark Horton Nicholas R. Waytowich W. Hairston Tim Oates T. Mohsenin 40 19 0 25 Mar 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 98 665 0 19 Mar 2019
Truly Proximal Policy Optimization Yuhui Wang Hao He Chao Wen Xiaoyang Tan 80 126 0 19 Mar 2019
Exploiting Hierarchy for Learning and Transfer in KL-regularized RL Dhruva Tirumala Hyeonwoo Noh Alexandre Galashov Leonard Hasenclever Arun Ahuja Greg Wayne Razvan Pascanu Yee Whye Teh N. Heess OffRL 72 44 0 18 Mar 2019
Policy Distillation and Value Matching in Multiagent Reinforcement Learning Samir Wadhwania Dong-Ki Kim Shayegan Omidshafiei Jonathan P. How 36 26 0 15 Mar 2019
Deep Reinforcement Learning with Feedback-based Exploration Jan Scholten Daan Wout C. Celemin Jens Kober 62 4 0 14 Mar 2019