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 / 1,719 papers shown

Title
On The Transferability of Deep-Q Networks M. Sabatelli Pierre Geurts 42 2 0 06 Oct 2021
Adaptive control of a mechatronic system using constrained residual reinforcement learning Tom Staessens Tom Lefebvre Guillaume Crevecoeur 22 16 0 06 Oct 2021
Pretraining & Reinforcement Learning: Sharpening the Axe Before Cutting the Tree Saurav Kadavath Samuel Paradis Brian Yao VLM CLIP OffRL OnRL 22 1 0 06 Oct 2021
Explaining Off-Policy Actor-Critic From A Bias-Variance Perspective Ting-Han Fan Peter J. Ramadge CML FAtt OffRL 21 2 0 06 Oct 2021
Influencing Towards Stable Multi-Agent Interactions Woodrow Z. Wang Andy Shih Annie Xie Dorsa Sadigh 51 34 0 05 Oct 2021
Dropout Q-Functions for Doubly Efficient Reinforcement Learning Takuya Hiraoka Takahisa Imagawa Taisei Hashimoto Takashi Onishi Yoshimasa Tsuruoka 25 106 0 05 Oct 2021
Continuous-Time Fitted Value Iteration for Robust Policies M. Lutter Boris Belousov Shie Mannor Dieter Fox Animesh Garg Jan Peters 15 9 0 05 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models M. Lutter Jan Peters PINN AI4CE 45 39 0 05 Oct 2021
Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies Jeong-Hoon Lee Jongeun Choi 47 8 0 05 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 105 265 0 04 Oct 2021
Large Batch Experience Replay Thibault Lahire Matthieu Geist Emmanuel Rachelson OffRL 56 13 0 04 Oct 2021
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation Soojung Yang Doyeong Hwang Seul Lee Seongok Ryu Sung Ju Hwang 42 68 0 04 Oct 2021
Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning Elie Aljalbout Maximilian Ulmer Rudolph Triebel 24 2 0 02 Oct 2021
Divergence-Regularized Multi-Agent Actor-Critic Kefan Su Zongqing Lu 46 25 0 01 Oct 2021
Powerpropagation: A sparsity inducing weight reparameterisation Jonathan Richard Schwarz Siddhant M. Jayakumar Razvan Pascanu P. Latham Yee Whye Teh 98 54 0 01 Oct 2021
Neural Network Verification in Control M. Everett AAML 37 16 0 30 Sep 2021
Solving the Real Robot Challenge using Deep Reinforcement Learning Robert McCarthy Francisco Roldan Sanchez Qiang Wang David Córdova Bulens Kevin McGuinness Noel E. O'Connor S. Redmond 53 11 0 30 Sep 2021
Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning Yu Ao Le Chen Florian Tschopp Michel Breyer Andrei Cramariuc Roland Siegwart 20 4 0 30 Sep 2021
Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates Romain Laroche Rémi Tachet des Combes 46 8 0 29 Sep 2021
On the Estimation Bias in Double Q-Learning Zhizhou Ren Guangxiang Zhu Haotian Hu Beining Han Jian-Hai Chen Chongjie Zhang 27 17 0 29 Sep 2021
Learning Dynamics Models for Model Predictive Agents M. Lutter Leonard Hasenclever Arunkumar Byravan Gabriel Dulac-Arnold Piotr Trochim N. Heess J. Merel Yuval Tassa AI4CE 57 26 0 29 Sep 2021
Lyapunov-stable neural-network control Hongkai Dai Benoit Landry Lujie Yang Marco Pavone Russ Tedrake 28 120 0 29 Sep 2021
A First-Occupancy Representation for Reinforcement Learning Theodore H. Moskovitz S. Wilson M. Sahani 41 15 0 28 Sep 2021
Making Curiosity Explicit in Vision-based RL Elie Aljalbout Maximilian Ulmer Rudolph Triebel OffRL 34 2 0 28 Sep 2021
Deep Reinforcement Learning with Adjustments H. Khorasgani Haiyan Wang Chetan Gupta Susumu Serita 23 2 0 28 Sep 2021
Semi-Autonomous Teleoperation via Learning Non-Prehensile Manipulation Skills Sangbeom Park Yoonbyung Chai Sunghyun Park Jeongeun Park Kyungjae Lee Sungjoon Choi SSL 36 5 0 27 Sep 2021
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning Quanyi Li Zhenghao Peng Lan Feng Qihang Zhang Zhenghai Xue Bolei Zhou 48 233 0 26 Sep 2021
Prioritized Experience-based Reinforcement Learning with Human Guidance for Autonomous Driving Jingda Wu Zhiyu Huang Wenhui Huang Chen Lv 57 74 0 26 Sep 2021
Self-Enhancing Multi-filter Sequence-to-Sequence Model Yunhao Yang Zhaokun Xue Andrew Whinston 45 1 0 25 Sep 2021
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms Liyuan Zheng Tanner Fiez Zane Alumbaugh Benjamin J. Chasnov Lillian J. Ratliff OffRL 37 39 0 25 Sep 2021
The $f$ -Divergence Reinforcement Learning Framework Chen Gong Qiang He Yunpeng Bai Zhouyi Yang Xiaoyu Chen Xinwen Hou Xianjie Zhang Yu Liu Guoliang Fan 42 3 0 24 Sep 2021
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience C. Banerjee Zhiyong Chen N. Noman 24 30 0 24 Sep 2021
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning J. Kuba Ruiqing Chen Munning Wen Ying Wen Fanglei Sun Jun Wang Yaodong Yang 67 231 0 23 Sep 2021
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation A. Kamenev Lirui Wang Ollin Boer Bohan Ishwar Kulkarni Bilal Kartal Artem Molchanov Stan Birchfield David Nistér Nikolai Smolyanskiy 58 40 0 23 Sep 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 145 85 0 22 Sep 2021
LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders Xiaoyu Chen Chen Gong Qiang He Xinwen Hou Yu Liu 40 1 0 22 Sep 2021
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning Qiang He Yuxun Qu Chen Gong Xinwen Hou OffRL 22 10 0 22 Sep 2021
Context-Specific Representation Abstraction for Deep Option Learning Marwa Abdulhai Dong-Ki Kim Matthew D Riemer Miao Liu Gerald Tesauro Jonathan P. How OffRL 53 9 0 20 Sep 2021
Generalization in Mean Field Games by Learning Master Policies Sarah Perrin Mathieu Laurière Julien Pérolat Romuald Élie Matthieu Geist Olivier Pietquin AI4CE 94 35 0 20 Sep 2021
Dual Behavior Regularized Reinforcement Learning Chapman Siu Jason M. Traish R. Xu OffRL 23 1 0 19 Sep 2021
Hindsight Foresight Relabeling for Meta-Reinforcement Learning Michael Wan Jian-wei Peng Tanmay Gangwani 36 7 0 18 Sep 2021
Density-based Curriculum for Multi-goal Reinforcement Learning with Sparse Rewards Deyu Yang Hanbo Zhang Xuguang Lan Jishiyu Ding OffRL 35 2 0 18 Sep 2021
Soft Actor-Critic With Integer Actions Ting-Han Fan Yubo Wang 35 12 0 17 Sep 2021
Landmark Policy Optimization for Object Navigation Task A. Staroverov Aleksandr I. Panov 52 0 0 17 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 42 77 0 16 Sep 2021
Efficient Differentiable Simulation of Articulated Bodies Yi-Ling Qiao Junbang Liang V. Koltun Ming Lin AI4CE 40 56 0 16 Sep 2021
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes Alessio Russo Alexandre Proutiere AAML 43 6 0 15 Sep 2021
Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments Jaeuk Shin A. Hakobyan Mingyu Park Yeoneung Kim Gihun Kim Insoon Yang 42 10 0 15 Sep 2021
Learning Based Adaptive Force Control of Robotic Manipulation Based on Real-Time Object Stiffness Detection Zhaoxing Deng Xutian Deng Miao Li OOD 15 2 0 14 Sep 2021
Reinforcement Learning with Evolutionary Trajectory Generator: A General Approach for Quadrupedal Locomotion Hao-bin Shi Bo Zhou Hongsheng Zeng Fan Wang Yueqiang Dong Jiangyong Li Kang Wang Hao Tian Max Meng 50 50 0 14 Sep 2021