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"

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Title
FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control Longxiang Shi Shijian Li LongBing Cao Long Yang Gang Zheng Gang Pan 24 5 0 01 Jul 2019
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog Natasha Jaques Asma Ghandeharioun J. Shen Craig Ferguson Àgata Lapedriza Noah J. Jones S. Gu Rosalind W. Picard OffRL 50 338 0 30 Jun 2019
Learning Policies through Quantile Regression Oliver Richter Roger Wattenhofer 21 0 0 27 Jun 2019
Uncertainty-aware Model-based Policy Optimization Tung-Long Vuong Kenneth Tran 6 11 0 25 Jun 2019
Policy Optimization with Stochastic Mirror Descent Long Yang Yu Zhang Gang Zheng Qian Zheng Pengfei Li Jianhang Huang Jun Wen Gang Pan 58 34 0 25 Jun 2019
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy Boyi Liu Qi Cai Zhuoran Yang Zhaoran Wang 35 109 0 25 Jun 2019
Deep Conservative Policy Iteration Nino Vieillard Olivier Pietquin Matthieu Geist 22 26 0 24 Jun 2019
Ranking Policy Gradient Kaixiang Lin Jiayu Zhou OffRL 27 7 0 24 Jun 2019
Disentangled Skill Embeddings for Reinforcement Learning Janith C. Petangoda Sergio Pascual-Diaz Vincent Adam Peter Vrancx Jordi Grau-Moya DRL OffRL 29 15 0 21 Jun 2019
Exploring Model-based Planning with Policy Networks Tingwu Wang Jimmy Ba 49 148 0 20 Jun 2019
Calibrated Model-Based Deep Reinforcement Learning Ali Malik Volodymyr Kuleshov Jiaming Song Danny Nemer Harlan Seymour Stefano Ermon 25 55 0 19 Jun 2019
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 39 936 0 19 Jun 2019
Reward Prediction Error as an Exploration Objective in Deep RL Riley Simmons-Edler Ben Eisner Daniel Yang Anthony Bisulco E. Mitchell Sebastian Seung Daniel D. Lee 34 5 0 19 Jun 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning Yiding Jiang S. Gu Kevin Patrick Murphy Chelsea Finn OffRL 20 223 0 18 Jun 2019
Hierarchical Soft Actor-Critic: Adversarial Exploration via Mutual Information Optimization Ari Azarafrooz John Brock 16 3 0 17 Jun 2019
Is the Policy Gradient a Gradient? Chris Nota Philip S. Thomas 24 58 0 17 Jun 2019
Learning-Driven Exploration for Reinforcement Learning Muhammad Usama D. Chang 35 10 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 26 191 0 13 Jun 2019
Goal-conditioned Imitation Learning Yiming Ding Carlos Florensa Mariano Phielipp Pieter Abbeel 34 220 0 13 Jun 2019
Efficient Exploration via State Marginal Matching Lisa Lee Benjamin Eysenbach Emilio Parisotto Eric Xing Sergey Levine Ruslan Salakhutdinov 54 242 0 12 Jun 2019
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past Che Wang Keith Ross 21 45 0 10 Jun 2019
Transfer Learning by Modeling a Distribution over Policies Disha Shrivastava Eeshan Gunesh Dhekane Riashat Islam OOD OffRL 16 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 37 50 0 07 Jun 2019
Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies Patrick Nadeem Ward Ariella Smofsky A. Bose 14 58 0 06 Jun 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction Aviral Kumar Justin Fu George Tucker Sergey Levine OffRL OnRL 47 1,038 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 22 4 0 31 May 2019
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 14 49 0 28 May 2019
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy Ruihan Yang Qiwei Ye Tie-Yan Liu 30 0 0 28 May 2019
SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards S. Reddy Anca Dragan Sergey Levine OffRL 20 52 0 27 May 2019
Interactive Differentiable Simulation Eric Heiden David Millard Hejia Zhang Gaurav Sukhatme OOD AI4CE PINN 8 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 22 30 0 25 May 2019
Adaptive Symmetric Reward Noising for Reinforcement Learning R. Vivanti Talya D. Sohlberg-Baris Shlomo Cohen Orna Cohen AAML 21 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 47 30 0 24 May 2019
Distributional Policy Optimization: An Alternative Approach for Continuous Control Chen Tessler Guy Tennenholtz Shie Mannor OffRL 18 44 0 23 May 2019
Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies Domingo Esteban Leonel Rozo D. Caldwell OffRL 17 7 0 23 May 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning Rui Zhao Xudong Sun Volker Tresp 34 80 0 21 May 2019
Stochastically Dominant Distributional Reinforcement Learning John D. Martin Michal Lyskawinski Xiaohu Li Brendan Englot 28 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 30 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 35 60 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 58 127 0 15 May 2019
Learning Novel Policies For Tasks Yunbo Zhang Wenhao Yu Greg Turk 22 33 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 24 1 0 12 May 2019
Generalized Second Order Value Iteration in Markov Decision Processes Chandramouli Kamanchi Raghuram Bharadwaj Diddigi S. Bhatnagar 37 10 0 10 May 2019
Smoothing Policies and Safe Policy Gradients Matteo Papini Matteo Pirotta Marcello Restelli 37 30 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 33 34 0 07 May 2019
Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning Seungyul Han Y. Sung OffRL 22 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 25 102 0 03 May 2019
Collaborative Evolutionary Reinforcement Learning Shauharda Khadka Somdeb Majumdar Tarek Nassar Zach Dwiel E. Tumer Santiago Miret Yinyin Liu Kagan Tumer 29 100 0 02 May 2019
DAC: The Double Actor-Critic Architecture for Learning Options Shangtong Zhang Shimon Whiteson 30 72 0 29 Apr 2019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving Jianyu Chen Bodi Yuan Masayoshi Tomizuka 30 263 0 20 Apr 2019