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
Multi-Path Policy Optimization L. Pan Qingpeng Cai Longbo Huang 18 2 0 11 Nov 2019
Learning from Trajectories via Subgoal Discovery S. Paul J. Baar Amit K. Roy-Chowdhury 86 47 0 03 Nov 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
Regularizing Model-Based Planning with Energy-Based Models Rinu Boney Arno Solin Alexander Ilin 22 18 0 12 Oct 2019
Assistive Gym: A Physics Simulation Framework for Assistive Robotics Zackory M. Erickson Vamsee Gangaram Ariel Kapusta Chenxi Liu Charles C. Kemp 33 109 0 10 Oct 2019
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards Siyuan Li Rui Wang Minxue Tang Chongjie Zhang 18 82 0 10 Oct 2019
RLCard: A Toolkit for Reinforcement Learning in Card Games Daochen Zha Kwei-Herng Lai Yuanpu Cao Songyi Huang Ruzhe Wei Junyu Guo Xia Hu OffRL 18 58 0 10 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
Adaptive ROI Generation for Video Object Segmentation Using Reinforcement Learning Mingjie Sun Jimin Xiao Eng Gee Lim Yanchun Xie Jiashi Feng VOS 27 27 0 27 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
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots Michael Ahn Henry Zhu Kristian Hartikainen Hugo Ponte Abhishek Gupta Sergey Levine Vikash Kumar 32 126 0 25 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
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 24 96 0 03 Sep 2019
Behaviour Suite for Reinforcement Learning Ian Osband Yotam Doron Matteo Hessel John Aslanides Eren Sezener ... Satinder Singh Benjamin Van Roy R. Sutton David Silver H. V. Hasselt OffRL 32 178 0 09 Aug 2019
Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Tianhao Chen Limei Cheng Yang Liu Wenchuan Jia Shugen Ma 11 4 0 08 Aug 2019
Neural Simplex Architecture Dung Phan Radu Grosu N. Jansen Nicola Paoletti S. Smolka Scott D. Stoller 30 61 0 01 Aug 2019
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners A. H. Qureshi Yinglong Miao Anthony Simeonov Michael C. Yip PINN 3DV 34 212 0 13 Jul 2019
Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems M. Lutter Kim D. Listmann Jan Peters PINN 24 71 0 10 Jul 2019
Co-training for Policy Learning Jialin Song Ravi Lanka Yisong Yue M. Ono OffRL 18 19 0 03 Jul 2019
From self-tuning regulators to reinforcement learning and back again Nikolai Matni Alexandre Proutiere Anders Rantzer Stephen Tu 27 88 0 27 Jun 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
Training an Interactive Helper Mark P. Woodward Chelsea Finn Karol Hausman 27 1 0 24 Jun 2019
Learning Belief Representations for Imitation Learning in POMDPs Tanmay Gangwani Joel Lehman Qiang Liu Jian Peng 29 36 0 22 Jun 2019
Learning to Forget for Meta-Learning Sungyong Baik Seokil Hong Kyoung Mu Lee CLL KELM 22 87 0 13 Jun 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 29 71 0 13 Jun 2019
Active Learning of Dynamics for Data-Driven Control Using Koopman Operators Ian Abraham Todd D. Murphey 24 160 0 12 Jun 2019
Learning Powerful Policies by Using Consistent Dynamics Model Shagun Sodhani Anirudh Goyal T. Deleu Yoshua Bengio Sergey Levine Jian Tang OffRL 19 5 0 11 Jun 2019
An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient Pan Xu F. Gao Quanquan Gu 24 93 0 29 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
Trajectory-Based Off-Policy Deep Reinforcement Learning Andreas Doerr Michael Volpp Marc Toussaint Sebastian Trimpe Christian Daniel OffRL 31 2 0 14 May 2019
Compare Contact Model-based Control and Contact Model-free Learning: A Survey of Robotic Peg-in-hole Assembly Strategies Jing Xu Zhimin Hou Zhi Liu H. Qiao 24 90 0 10 Apr 2019
VRGym: A Virtual Testbed for Physical and Interactive AI Xu Xie Hangxin Liu Zhenliang Zhang Yuxing Qiu Feng Gao Siyuan Qi Yixin Zhu Song-Chun Zhu 23 27 0 02 Apr 2019
Risk Averse Robust Adversarial Reinforcement Learning Xinlei Pan Daniel Seita Yang Gao John F. Canny AAML 16 96 0 31 Mar 2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies Riley Simmons-Edler Ben Eisner E. Mitchell Sebastian Seung Daniel D. Lee 44 28 0 25 Mar 2019
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks Richard Cheng G. Orosz R. Murray J. W. Burdick 31 607 0 21 Mar 2019
Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors Artem Molchanov Tao Chen Wolfgang Hönig James A. Preiss Nora Ayanian Gaurav Sukhatme 24 107 0 11 Mar 2019
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning Xiaobai Ma Katherine Driggs-Campbell Mykel J. Kochenderfer AAML 29 48 0 08 Mar 2019
RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems E. Abramova Luke Dickens Daniel Kuhn A. Faisal 21 3 0 07 Mar 2019
Open-Sourced Reinforcement Learning Environments for Surgical Robotics Florian Richter Ryan K. Orosco Michael C. Yip OffRL 27 79 0 05 Mar 2019
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems Andrew J. Taylor Victor D. Dorobantu Hoang Minh Le Yisong Yue Aaron D. Ames 117 78 0 04 Mar 2019
Flappy Hummingbird: An Open Source Dynamic Simulation of Flapping Wing Robots and Animals Fan Fei Zhan Tu Yilun Yang Jian Zhang Xinyan Deng 27 32 0 25 Feb 2019
Learning Extreme Hummingbird Maneuvers on Flapping Wing Robots Fan Fei Zhan Tu Jian Zhang Xinyan Deng 22 42 0 25 Feb 2019
Investigating Generalisation in Continuous Deep Reinforcement Learning Chenyang Zhao Olivier Sigaud F. Stulp Timothy M. Hospedales OffRL 22 48 0 19 Feb 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients Supratik Paul Vitaly Kurin Shimon Whiteson 22 32 0 18 Feb 2019
Learn a Prior for RHEA for Better Online Planning Xinyao Tong W. Liu Bin Li OffRL 43 0 0 14 Feb 2019
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery Ngoc Duy Nguyen Thanh Nguyen S. Nahavandi Asim Bhatti Glenn Guest 21 41 0 14 Feb 2019
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning Kyungjae Lee Sungyub Kim Sungbin Lim Sungjoon Choi Songhwai Oh 27 28 0 31 Jan 2019
Improving Evolutionary Strategies with Generative Neural Networks Louis Faury Clément Calauzènes Olivier Fercoq Syrine Krichene 27 12 0 31 Jan 2019
Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang Shipra Agrawal OffRL 26 118 0 29 Jan 2019
A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting Thanh Thi Nguyen Ngoc Duy Nguyen Fernando Bello S. Nahavandi 25 38 0 10 Jan 2019