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 / 1,645 papers shown

Title
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning Bharathan Balaji S. Mallya Sahika Genc Saurabh Gupta Leo Dirac ... Yunzhe Tao Brian Townsend E. Calleja Sunil Muralidhara Dhanasekar Karuppasamy 26 56 0 05 Nov 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation Risto Vuorio Shao-Hua Sun Hexiang Hu Joseph J. Lim 35 219 0 30 Oct 2019
Learning to Manipulate Deformable Objects without Demonstrations Yilin Wu Wilson Yan Thanard Kurutach Lerrel Pinto Pieter Abbeel OffRL 31 199 0 29 Oct 2019
Better Exploration with Optimistic Actor-Critic K. Ciosek Q. Vuong R. Loftin Katja Hofmann 29 149 0 28 Oct 2019
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning Xinyue Chen Zijian Zhou Zhengren Wang Che Wang Yanqiu Wu Keith Ross OffRL 35 121 0 27 Oct 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 106 1,132 0 24 Oct 2019
A New Framework for Multi-Agent Reinforcement Learning -- Centralized Training and Exploration with Decentralized Execution via Policy Distillation Gang Chen 22 40 0 21 Oct 2019
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments Rémy Portelas Cédric Colas Katja Hofmann Pierre-Yves Oudeyer 32 144 0 16 Oct 2019
Soft Actor-Critic for Discrete Action Settings Petros Christodoulou OffRL 104 292 0 16 Oct 2019
Regularizing Model-Based Planning with Energy-Based Models Rinu Boney Arno Solin Alexander Ilin 22 18 0 12 Oct 2019
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments Vinicius G. Goecks Gregory M. Gremillion Vernon J. Lawhern J. Valasek Nicholas R. Waytowich OffRL 22 31 0 09 Oct 2019
Receding Horizon Curiosity M. Schultheis Boris Belousov Hany Abdulsamad Jan Peters 25 15 0 08 Oct 2019
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning Xue Bin Peng Aviral Kumar Grace Zhang Sergey Levine OffRL 54 541 0 01 Oct 2019
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network Heechang Ryu Hayong Shin Jinkyoo Park 25 115 0 27 Sep 2019
RLBench: The Robot Learning Benchmark & Learning Environment Stephen James Z. Ma David Rovick Arrojo Andrew J. Davison SSL VLM OffRL 59 532 0 26 Sep 2019
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control H. F. Song A. Abdolmaleki Jost Tobias Springenberg Aidan Clark Hubert Soyer ... Dhruva Tirumala N. Heess Dan Belov Martin Riedmiller M. Botvinick 37 121 0 26 Sep 2019
Off-Policy Actor-Critic with Shared Experience Replay Simon Schmitt Matteo Hessel Karen Simonyan OffRL 27 68 0 25 Sep 2019
Visualizing Movement Control Optimization Landscapes Perttu Hämäläinen Juuso Toikka Amin Babadi Karen Liu 27 7 0 17 Sep 2019
Model Based Planning with Energy Based Models Yilun Du Toru Lin Igor Mordatch 22 37 0 15 Sep 2019
VILD: Variational Imitation Learning with Diverse-quality Demonstrations Voot Tangkaratt Bo Han Mohammad Emtiyaz Khan Masashi Sugiyama 25 20 0 15 Sep 2019
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses Matt Grenander Yue Dong Jackie C.K. Cheung Annie Louis 27 35 0 08 Sep 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 24 96 0 03 Sep 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 25 53 0 25 Aug 2019
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics Saurabh Daptardar Paul Schrater Xaq Pitkow 17 38 0 13 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 56 413 0 11 Aug 2019
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks Michelle A. Lee Yuke Zhu Peter Zachares Matthew Tan K. Srinivasan Silvio Savarese Fei-Fei Li Animesh Garg Jeannette Bohg SSL 23 208 0 28 Jul 2019
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment Felix Leibfried Sergio Pascual-Diaz Jordi Grau-Moya 25 27 0 26 Jul 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges Lei Lei Yue Tan Kan Zheng Shiwen Liu K. Zheng Xuemin Shen Shen OffRL 26 202 0 22 Jul 2019
Characterizing Attacks on Deep Reinforcement Learning Xinlei Pan Chaowei Xiao Warren He Shuang Yang Jian Peng ... Jinfeng Yi Zijiang Yang Mingyan D. Liu Yue Liu D. Song AAML 22 69 0 21 Jul 2019
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery Kristian Hartikainen Xinyang Geng Tuomas Haarnoja Sergey Levine SSL 43 74 0 18 Jul 2019
Deep Active Inference as Variational Policy Gradients Beren Millidge BDL 32 103 0 08 Jul 2019
Data Efficient Reinforcement Learning for Legged Robots Yuxiang Yang Ken Caluwaerts Atil Iscen Tingnan Zhang Jie Tan Vikas Sindhwani 33 139 0 08 Jul 2019
On-Policy Robot Imitation Learning from a Converging Supervisor Ashwin Balakrishna Brijen Thananjeyan Jonathan Lee Felix Li Arsh Zahed Joseph E. Gonzalez Ken Goldberg 30 17 0 08 Jul 2019
Variational Inference MPC for Bayesian Model-based Reinforcement Learning Masashi Okada T. Taniguchi 43 73 0 08 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 41 356 0 06 Jul 2019
Modified Actor-Critics Erinc Merdivan S. Hanke M. Geist 24 2 0 02 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 36 372 0 01 Jul 2019
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy Boyi Liu Qi Cai Zhuoran Yang Zhaoran Wang 30 108 0 25 Jun 2019
Hierarchical Soft Actor-Critic: Adversarial Exploration via Mutual Information Optimization Ari Azarafrooz John Brock 11 3 0 17 Jun 2019
Is the Policy Gradient a Gradient? Chris Nota Philip S. Thomas 8 57 0 17 Jun 2019
Learning-Driven Exploration for Reinforcement Learning Muhammad Usama D. Chang 29 10 0 17 Jun 2019
Goal-conditioned Imitation Learning Yiming Ding Carlos Florensa Mariano Phielipp Pieter Abbeel 34 219 0 13 Jun 2019
Efficient Exploration via State Marginal Matching Lisa Lee Benjamin Eysenbach Emilio Parisotto Eric Xing Sergey Levine Ruslan Salakhutdinov 35 242 0 12 Jun 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 42 29 0 24 May 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning Rui Zhao Xudong Sun Volker Tresp 29 80 0 21 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
Meta reinforcement learning as task inference Jan Humplik Alexandre Galashov Leonard Hasenclever Pedro A. Ortega Yee Whye Teh N. Heess OffRL 41 127 0 15 May 2019