Benchmarking Deep Reinforcement Learning for Continuous Control

22 April 2016

Pieter Abbeel

Papers citing "Benchmarking Deep Reinforcement Learning for Continuous Control"

50 / 348 papers shown

Title
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 42 124 0 19 Jan 2023
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces Saket Tiwari Omer Gottesman George Konidaris 29 0 0 29 Dec 2022
Learning Physically Realizable Skills for Online Packing of General 3D Shapes Hang Zhao Zherong Pan Yang Yu Kai Xu OffRL 39 14 0 05 Dec 2022
CT-DQN: Control-Tutored Deep Reinforcement Learning F. D. Lellis M. Coraggio G. Russo Mirco Musolesi M. D. Bernardo 24 4 0 02 Dec 2022
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods Yanli Liu Kai Zhang Tamer Basar W. Yin 48 102 0 15 Nov 2022
Model-based Lifelong Reinforcement Learning with Bayesian Exploration Haotian Fu Shangqun Yu Michael Littman George Konidaris BDL OffRL 26 12 0 20 Oct 2022
$Global Convergence of Direct Policy Search for State-Feedback $\mathcal{H}_\infty$ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential$ Global Convergence of Direct Policy Search for State-Feedback $\mathcal{H}_\infty$ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential Xing-ming Guo Bin Hu 41 12 0 20 Oct 2022
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control Yanfei Xiang Xin Wang Shu Hu Bin Zhu Xiaomeng Huang Xi Wu Siwei Lyu SSL 31 5 0 20 Oct 2022
Deep Reinforcement Learning-based Rebalancing Policies for Profit Maximization of Relay Nodes in Payment Channel Networks Nikolaos Papadis Leandros Tassiulas 28 5 0 13 Oct 2022
Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems Junmin Zhong Ruofan Wu J. Si LRM 30 0 0 10 Oct 2022
Policy Gradients for Probabilistic Constrained Reinforcement Learning Weiqin Chen D. Subramanian Santiago Paternain 29 6 0 02 Oct 2022
MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning Junfeng Chen Fuqin Deng Yuan Gao Junjie Hu Xiyue Guo Guanqi Liang Tin Lun Lam 37 7 0 28 Sep 2022
Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments Desik Rengarajan Sapana Chaudhary JaeWon Kim D. Kalathil S. Shakkottai OffRL 29 2 0 26 Sep 2022
Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent W. Z. E. Amri L. Hermes M. Schilling 18 1 0 21 Sep 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 39 5 0 21 Sep 2022
Constrained Update Projection Approach to Safe Policy Optimization Long Yang Jiaming Ji Juntao Dai Linrui Zhang Binbin Zhou Pengfei Li Yaodong Yang Gang Pan 41 43 0 15 Sep 2022
Evolutionary Quantum Architecture Search for Parametrized Quantum Circuits Lidong Ding Lee Spector 29 15 0 23 Aug 2022
Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions Wenhao Luo Wen Sun Ashish Kapoor OffRL 48 9 0 29 Jul 2022
Tackling Real-World Autonomous Driving using Deep Reinforcement Learning Paolo Maramotti Alessandro Paolo Capasso Giulio Bacchiani A. Broggi 38 10 0 05 Jul 2022
Automating the Design and Development of Gradient Descent Trained Expert System Networks Jeremy Straub 31 9 0 04 Jul 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 43 36 0 03 Jul 2022
q-Learning in Continuous Time Yanwei Jia X. Zhou OffRL 58 70 0 02 Jul 2022
Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse James Queeney I. Paschalidis Christos G. Cassandras OffRL 32 2 0 28 Jun 2022
Barrier Certified Safety Learning Control: When Sum-of-Square Programming Meets Reinforcement Learning He-lu Huang Zerui Li Dongkun Han 40 2 0 16 Jun 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Yue Liu Ding Zhao OOD OffRL 48 36 0 29 May 2022
Efficient Reinforcement Learning from Demonstration Using Local Ensemble and Reparameterization with Split and Merge of Expert Policies Yu Wang Fang Liu 29 0 0 23 May 2022
ARLO: A Framework for Automated Reinforcement Learning Marco Mussi Davide Lombarda Alberto Maria Metelli F. Trovò Marcello Restelli OffRL 43 4 0 20 May 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 117 241 0 20 May 2022
Qualitative Differences Between Evolutionary Strategies and Reinforcement Learning Methods for Control of Autonomous Agents Nicola Milano S. Nolfi 28 0 0 16 May 2022
From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation Yuzhe Qin Hao Su Xiaolong Wang 32 99 0 26 Apr 2022
HyperNCA: Growing Developmental Networks with Neural Cellular Automata Elias Najarro Shyam Sudhakaran Claire Glanois S. Risi 39 14 0 25 Apr 2022
Reinforcement learning on graphs: A survey Mingshuo Nie Dongming Chen Dongqi Wang 49 45 0 13 Apr 2022
Configuration Path Control S. Pankov 27 1 0 05 Apr 2022
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance Yueh-hua Wu Jiashun Wang Xiaolong Wang 34 55 0 05 Apr 2022
Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices Dixian Zhu Xiaodong Wu Tianbao Yang 35 10 0 27 Mar 2022
Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots Yufeng Yuan Rupam Mahmood OffRL 36 19 0 23 Mar 2022
An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms Abulikemu Abuduweili Changliu Liu 24 1 0 23 Mar 2022
Reinforcement learning for automatic quadrilateral mesh generation: a soft actor-critic approach J. Pan Jingwei Huang G. Cheng Yong Zeng AI4CE 24 40 0 19 Mar 2022
Dojo: A Differentiable Physics Engine for Robotics Taylor A. Howell Simon Le Cleac'h Jan Brüdigam J. Zico Kolter Mac Schwager Zachary Manchester 37 35 0 02 Mar 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 40 9 0 23 Feb 2022
Sequential Bayesian experimental designs via reinforcement learning Hikaru Asano OffRL 18 0 0 14 Feb 2022
Reinforcement learning of optimal active particle navigation Mahdi Nasiri B. Liebchen 26 24 0 01 Feb 2022
Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots Jagdeep Bhatia Holly Jackson Yunsheng Tian Jie Xu Wojciech Matusik 28 81 0 24 Jan 2022
From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks Chenyu Sun Hangwei Qian Chunyan Miao 18 10 0 20 Jan 2022
Demystifying Reinforcement Learning in Time-Varying Systems Pouya Hamadanian Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh 50 1 0 14 Jan 2022
Mirror Learning: A Unifying Framework of Policy Optimisation J. Kuba Christian Schroeder de Witt Jakob N. Foerster 31 24 0 07 Jan 2022
Double Critic Deep Reinforcement Learning for Mapless 3D Navigation of Unmanned Aerial Vehicles Ricardo B. Grando J. C. Jesus V. A. Kich A. H. Kolling P. Drews 33 34 0 27 Dec 2021
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers? Han Zhong Zhuoran Yang Zhaoran Wang Michael I. Jordan 34 30 0 27 Dec 2021
Differentially Private Regret Minimization in Episodic Markov Decision Processes Sayak Ray Chowdhury Xingyu Zhou 29 21 0 20 Dec 2021
Exploring the Impact of Virtualization on the Usability of the Deep Learning Applications Davood Ghatreh Samani M. Salehi 21 7 0 17 Dec 2021