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
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents Nicola Milano S. Nolfi 21 0 0 15 Sep 2020
Guided Policy Search Based Control of a High Dimensional Advanced Manufacturing Process A. Surana Kishore K. Reddy M. Siopis AI4CE 25 2 0 12 Sep 2020
learn2learn: A Library for Meta-Learning Research Sébastien M. R. Arnold Praateek Mahajan Debajyoti Datta Ian Bunner Konstantinos Saitas Zarkias 34 95 0 27 Aug 2020
Constrained Markov Decision Processes via Backward Value Functions Harsh Satija Philip Amortila Joelle Pineau 46 51 0 26 Aug 2020
Sample-efficient Cross-Entropy Method for Real-time Planning Cristina Pinneri Shambhuraj Sawant Sebastian Blaes Jan Achterhold Joerg Stueckler Michal Rolínek Georg Martius 37 98 0 14 Aug 2020
Learning Event-triggered Control from Data through Joint Optimization Niklas Funk Dominik Baumann V. Berenz Sebastian Trimpe 18 17 0 11 Aug 2020
TriFinger: An Open-Source Robot for Learning Dexterity Manuel Wüthrich Felix Widmaier F. Grimminger J. Akpo S. Joshi ... Julian Viereck M. Naveau Ludovic Righetti Bernhard Schölkopf Stefan Bauer 29 72 0 08 Aug 2020
SafePILCO: a software tool for safe and data-efficient policy synthesis Kyriakos Polymenakos Nikitas Rontsis Alessandro Abate Stephen J. Roberts 32 6 0 07 Aug 2020
Learning Power Control from a Fixed Batch of Data M. Khoshkholgh H. Yanikomeroglu OffRL 28 2 0 05 Aug 2020
Autonomous Navigation in Complex Environments with Deep Multimodal Fusion Network A. Nguyen Ngoc Son Nguyen K. Tran Erman Tjiputra Quang-Dieu Tran 20 39 0 31 Jul 2020
Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning L. Hertel Pierre Baldi D. Gillen BDL 31 12 0 29 Jul 2020
Lifelong Incremental Reinforcement Learning with Online Bayesian Inference Zhi Wang Chunlin Chen D. Dong CLL OffRL 23 56 0 28 Jul 2020
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate Mirco Mutti Lorenzo Pratissoli Marcello Restelli 11 19 0 09 Jul 2020
Meta-Learning through Hebbian Plasticity in Random Networks Elias Najarro S. Risi 30 77 0 06 Jul 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 38 125 0 22 Jun 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen 30 82 0 20 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 26 220 0 14 Jun 2020
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward Guannan Qu Yiheng Lin Adam Wierman Na Li 33 69 0 11 Jun 2020
Multi-Agent Reinforcement Learning in Stochastic Networked Systems Yiheng Lin Guannan Qu Longbo Huang Adam Wierman 34 38 0 11 Jun 2020
Cross-Domain Imitation Learning with a Dual Structure Sungho Choi Seungyul Han Woojun Kim Y. Sung 24 2 0 02 Jun 2020
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning Michelle A. Lee Carlos Florensa Jonathan Tremblay Nathan D. Ratliff Animesh Garg Fabio Ramos Dieter Fox 23 60 0 21 May 2020
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks Haotian Liu Wenchuan Wu OffRL 19 95 0 20 May 2020
Smooth Exploration for Robotic Reinforcement Learning Antonin Raffin Jens Kober F. Stulp 32 57 0 12 May 2020
Delay-Aware Model-Based Reinforcement Learning for Continuous Control Baiming Chen Mengdi Xu Liang-Sheng Li Ding Zhao OffRL 42 63 0 11 May 2020
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey Ammar Haydari Y. Yilmaz AI4TS 33 455 0 02 May 2020
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems Eseoghene Ben-Iwhiwhu Pawel Ladosz Jeffery Dick Wen‐Hua Chen Praveen K. Pilly Andrea Soltoggio 39 9 0 27 Apr 2020
State-Only Imitation Learning for Dexterous Manipulation Ilija Radosavovic Xiaolong Wang Lerrel Pinto Jitendra Malik OffRL 21 122 0 07 Apr 2020
Continuous Motion Planning with Temporal Logic Specifications using Deep Neural Networks Chuanzhen Wang Yinan Li Stephen L. Smith Jun Liu 28 17 0 02 Apr 2020
Action Space Shaping in Deep Reinforcement Learning Anssi Kanervisto Christian Scheller Ville Hautamaki 32 80 0 02 Apr 2020
SAPIEN: A SimulAted Part-based Interactive ENvironment Fanbo Xiang Yuzhe Qin Kaichun Mo Yikuan Xia Hao Zhu ... He Wang Li Yi Angel X. Chang Leonidas J. Guibas Hao Su 223 488 0 19 Mar 2020
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation Wilson Yan Ashwin Vangipuram Pieter Abbeel Lerrel Pinto 37 188 0 11 Mar 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods Wei Zhou Yiying Li Yongxin Yang Huaimin Wang Timothy M. Hospedales OffRL 34 46 0 11 Mar 2020
Stochastic Recursive Momentum for Policy Gradient Methods Huizhuo Yuan Xiangru Lian Ji Liu Yuren Zhou 31 31 0 09 Mar 2020
Hierarchically Decoupled Imitation for Morphological Transfer D. Hejna Pieter Abbeel Lerrel Pinto LM&Ro 25 41 0 03 Mar 2020
Exploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control Ke Lin Liang Gong Xudong Li Te Sun Binhao Chen Chengliang Liu Zhengfeng Zhang Jian Pu Junping Zhang 24 8 0 27 Feb 2020
Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval A. Bhunia Yongxin Yang Timothy M. Hospedales Tao Xiang Yi-Zhe Song 37 103 0 24 Feb 2020
Jelly Bean World: A Testbed for Never-Ending Learning Emmanouil Antonios Platanios Abulhair Saparov Tom Michael Mitchell VLM 44 23 0 15 Feb 2020
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning Sammy Christen Lukás Jendele Emre Aksan Otmar Hilliges OffRL 30 25 0 14 Feb 2020
Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems Joao Paulo Jansch-Porto Bin Hu Geir Dullerud 30 35 0 10 Feb 2020
Ready Policy One: World Building Through Active Learning Philip J. Ball Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts OffRL 32 49 0 07 Feb 2020
Dynamic Energy Dispatch Based on Deep Reinforcement Learning in IoT-Driven Smart Isolated Microgrids Lei Lei Yue Tan Glenn Dahlenburg W. Xiang K. Zheng 26 68 0 07 Feb 2020
Lyceum: An efficient and scalable ecosystem for robot learning Colin Summers Kendall Lowrey Aravind Rajeswaran S. Srinivasa E. Todorov 24 18 0 21 Jan 2020
An Exploration of Embodied Visual Exploration Santhosh Kumar Ramakrishnan Dinesh Jayaraman Kristen Grauman LM&Ro 37 98 0 07 Jan 2020
MushroomRL: Simplifying Reinforcement Learning Research Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters OffRL 22 84 0 04 Jan 2020
Monte-Carlo Tree Search for Policy Optimization Xiaobai Ma Katherine Driggs-Campbell Zongzhang Zhang Mykel J. Kochenderfer 20 6 0 23 Dec 2019
Recruitment-imitation Mechanism for Evolutionary Reinforcement Learning Shuai Lu Shuai Han Wenbo Zhou Junwei Zhang 29 26 0 13 Dec 2019
Scalable Reinforcement Learning for Multi-Agent Networked Systems Guannan Qu Adam Wierman Na Li 26 33 0 05 Dec 2019
SafeLife 1.0: Exploring Side Effects in Complex Environments Carroll L. Wainwright P. Eckersley 27 12 0 03 Dec 2019
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning Hangyu Mao Wulong Liu Jianye Hao Jun Luo Dong Li Zhengchao Zhang Jun Wang Zhen Xiao OffRL 30 74 0 03 Dec 2019
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning Cameron Voloshin Hoang Minh Le Nan Jiang Yisong Yue OffRL 32 152 0 15 Nov 2019