Benchmarking Deep Reinforcement Learning for Continuous Control

22 April 2016

Pieter Abbeel

Papers citing "Benchmarking Deep Reinforcement Learning for Continuous Control"

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Title
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control F. D. Lellis M. Coraggio G. Russo Mirco Musolesi M. D. Bernardo 21 7 0 11 Dec 2021
Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System Ruigang Wang Nicholas H. Barbara Max Revay I. Manchester 27 16 0 08 Dec 2021
Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction Yulin Zhang William Macke Jiaxun Cui Daniel Urieli Peter Stone 31 8 0 03 Dec 2021
MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering Shan Sun M. Kiran Wei Ren 38 2 0 30 Nov 2021
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms Yanwei Jia X. Zhou OffRL 36 79 0 22 Nov 2021
Visual Goal-Directed Meta-Learning with Contextual Planning Networks Corban G. Rivera D. Handelman 43 0 0 18 Nov 2021
Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance Yanqiu Wu Xinyue Chen Che Wang Yiming Zhang Keith Ross OffRL 19 9 0 17 Nov 2021
B-Pref: Benchmarking Preference-Based Reinforcement Learning Kimin Lee Laura M. Smith Anca Dragan Pieter Abbeel OffRL 45 93 0 04 Nov 2021
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies Tim Seyde Igor Gilitschenski Wilko Schwarting Bartolomeo Stellato Martin Riedmiller Markus Wulfmeier Daniela Rus 28 44 0 03 Nov 2021
OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning Qiang Liu Nakjung Choi Tao Han OffRL 32 29 0 02 Nov 2021
Context Meta-Reinforcement Learning via Neuromodulation Eseoghene Ben-Iwhiwhu Jeffery Dick Nicholas A. Ketz Praveen K. Pilly Andrea Soltoggio OffRL 56 12 0 30 Oct 2021
Generalized Proximal Policy Optimization with Sample Reuse James Queeney I. Paschalidis Christos G. Cassandras OffRL 42 47 0 29 Oct 2021
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment Tung M. Luu Chang D. Yoo 23 8 0 28 Oct 2021
An Adaptable Approach to Learn Realistic Legged Locomotion without Examples Daniel Felipe Ordoñez Apraez Antonio Agudo Francesc Moreno-Noguer Mario Martin 44 8 0 28 Oct 2021
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Junsup Kim Younggyo Seo Jinwoo Shin 28 58 0 26 Oct 2021
Hierarchical Skills for Efficient Exploration Jonas Gehring Gabriel Synnaeve Andreas Krause Nicolas Usunier 28 40 0 20 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 38 11 0 14 Oct 2021
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning J. Kuba Ruiqing Chen Munning Wen Ying Wen Fanglei Sun Jun Wang Yaodong Yang 49 231 0 23 Sep 2021
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns Prasanth Buddareddygari Travis Zhang Yezhou Yang Yi Ren AAML 37 13 0 16 Sep 2021
Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning Zhehua Zhou Ozgur S. Oguz Yi Ren M. Leibold M. Buss OffRL 22 0 0 10 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning Susan Amin Maziar Gomrokchi Harsh Satija H. V. Hoof Doina Precup OffRL 37 80 0 01 Sep 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 60 0 20 Aug 2021
Settling the Variance of Multi-Agent Policy Gradients J. Kuba Muning Wen Yaodong Yang Linghui Meng Shangding Gu Haifeng Zhang D. Mguni Jun Wang 26 59 0 19 Aug 2021
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos Yuzhe Qin Yueh-hua Wu Shaowei Liu Hanwen Jiang Ruihan Yang Yang Fu Xiaolong Wang 134 190 0 12 Aug 2021
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey A. Abdellatif N. Mhaisen Z. Chkirbene Amr M. Mohamed A. Erbad Mohsen Guizani OffRL AI4TS 25 21 0 05 Aug 2021
Fake News and Phishing Detection Using a Machine Learning Trained Expert System Benjamin Fitzpatrick X. Liang Jeremy Straub 34 6 0 04 Aug 2021
Tianshou: a Highly Modularized Deep Reinforcement Learning Library Jiayi Weng Huayu Chen Dong Yan Kaichao You Alexis Duburcq Minghao Zhang Yi Su Hang Su Jun Zhu NoLa OffRL 41 195 0 29 Jul 2021
Levels of explainable artificial intelligence for human-aligned conversational explanations Richard Dazeley Peter Vamplew Cameron Foale Charlotte Young Sunil Aryal F. Cruz 32 90 0 07 Jul 2021
SA-MATD3:Self-attention-based multi-agent continuous control method in cooperative environments Kai Liu Yuyang Zhao Gang Wang Bei Peng 33 18 0 01 Jul 2021
Active Learning in Robotics: A Review of Control Principles Annalisa T. Taylor Thomas A. Berrueta Todd D. Murphey 32 71 0 25 Jun 2021
Average-Reward Reinforcement Learning with Trust Region Methods Xiaoteng Ma Xiao-Jing Tang Li Xia Jun Yang Qianchuan Zhao 24 16 0 07 Jun 2021
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning Zhenning Li Hao Yu Guohui Zhang Shangjia Dong Cheng-Zhong Xu 21 109 0 20 Apr 2021
Distributed TD(0) with Almost No Communication R. Liu Alexander Olshevsky FedML 30 15 0 16 Apr 2021
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution Omer San Adil Rasheed T. Kvamsdal 55 50 0 26 Mar 2021
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow John Mcleod Hrvoje Stojić Vincent Adam Dongho Kim Jordi Grau-Moya Peter Vrancx Felix Leibfried OffRL 21 2 0 26 Mar 2021
Parametrized quantum policies for reinforcement learning Sofiene Jerbi Casper Gyurik Simon Marshall Hans J. Briegel Vedran Dunjko 42 105 0 09 Mar 2021
Decaying Clipping Range in Proximal Policy Optimization Mónika Farsang Luca Szegletes OffRL 18 4 0 20 Feb 2021
Differentiable Trust Region Layers for Deep Reinforcement Learning Fabian Otto P. Becker Ngo Anh Vien Hanna Ziesche Gerhard Neumann OffRL 41 19 0 22 Jan 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 104 186 0 12 Jan 2021
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach James Queeney I. Paschalidis Christos G. Cassandras 31 9 0 19 Dec 2020
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer Zohreh Raziei Mohsen Moghaddam 26 25 0 27 Nov 2020
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem Eric Liang Zhanghao Wu Michael Luo Sven Mika Joseph E. Gonzalez Ion Stoica AI4CE 23 9 0 25 Nov 2020
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty A. Guha Anuradha M. Annaswamy 31 12 0 20 Nov 2020
Joint Space Control via Deep Reinforcement Learning Visak C. V. Kumar David Hoeller Balakumar Sundaralingam Jonathan Tremblay Stan Birchfield DRL 25 15 0 12 Nov 2020
On Function Approximation in Reinforcement Learning: Optimism in the Face of Large State Spaces Zhuoran Yang Chi Jin Zhaoran Wang Mengdi Wang Michael I. Jordan 44 18 0 09 Nov 2020
Control with adaptive Q-learning J. Araújo Mário A. T. Figueiredo M. Botto 33 2 0 03 Nov 2020
How to Make Deep RL Work in Practice Nirnai Rao Elie Aljalbout Axel Sauer Sami Haddadin OffRL 29 11 0 25 Oct 2020
Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples S. Fattahi 26 14 0 08 Oct 2020
FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning Honghao Wei Lei Ying 25 7 0 04 Oct 2020
GRAC: Self-Guided and Self-Regularized Actor-Critic Lin Shao Yifan You Mengyuan Yan Qingyun Sun Jeannette Bohg 29 23 0 18 Sep 2020