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
Meta-World+: An Improved, Standardized, RL Benchmark Reginald McLean Evangelos Chatzaroulas Luc McCutcheon Frank Röder Tianhe Yu ... Ryan Julian Jordan Terry Isaac Woungang Nariman Farsad Pablo Samuel Castro OffRL 21 0 0 16 May 2025
Safety and optimality in learning-based control at low computational cost Dominik Baumann Krzysztof Kowalczyk Cristian R. Rojas K. Tiels Pawel Wachel 36 0 0 12 May 2025
PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers Michael Xu Yi Shi KangKang Yin Xue Bin Peng 38 0 0 06 May 2025
Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments Licheng Luo Mingyu Cai 38 0 0 09 Apr 2025
An Efficient Approach for Cooperative Multi-Agent Learning Problems Ángel Aso-Mollar Eva Onaindia 26 0 0 07 Apr 2025
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Xuyang Li Romit Maulik 53 0 0 24 Feb 2025
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic Huaiyuan Yao Longchao Da Vishnu Nandam Justin Turnau Zhiwei Liu Linsey Pang Hua Wei LLMAG 70 4 0 10 Jan 2025
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications Sinan Ibrahim Mostafa Mostafa Ali Jnadi Hadi Salloum Pavel Osinenko OffRL 56 14 0 31 Dec 2024
Broad Critic Deep Actor Reinforcement Learning for Continuous Control Shiron Thalagala Pak Kin Wong Xiaozheng Wang Tianang Sun OffRL 81 0 0 24 Nov 2024
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control Ehsan Futuhi Shayan Karimi Chao Gao Martin Müller 48 1 0 07 Oct 2024
Robust Offline Imitation Learning from Diverse Auxiliary Data Udita Ghosh Dripta S. Raychaudhuri Jiachen Li Konstantinos Karydis Amit K. Roy-Chowdhury OffRL 31 1 0 04 Oct 2024
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front Ruohong Liu Yuxin Pan Linjie Xu Lei Song Jiang Bian Pengcheng You Yize Chen 48 1 0 03 Oct 2024
PACSBO: Probably approximately correct safe Bayesian optimization Abdullah Tokmak Thomas B. Schon Dominik Baumann 42 2 0 02 Sep 2024
Automatic Grouping of Redundant Sensors and Actuators Using Functional and Spatial Connections: Application to Muscle Grouping for Musculoskeletal Humanoids Kento Kawaharazuka Manabu Nishiura Yuya Koga Yusuke Omura Yasunori Toshimitsu Yuki Asano Kei Okada Koji Kawasaki Masayuki Inaba 30 0 0 01 Sep 2024
Domain Adaptation for Offline Reinforcement Learning with Limited Samples Weiqin Chen Sandipan Mishra Santiago Paternain OffRL 51 2 0 22 Aug 2024
Preference-Guided Reinforcement Learning for Efficient Exploration Guojian Wang Faguo Wu Xiao Zhang Tianyuan Chen Xuyang Chen Lin Zhao 45 0 0 09 Jul 2024
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model Zhehua Zhou Xuan Xie Jiayang Song Zhan Shu Lei Ma 49 1 0 06 Jun 2024
DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays Bo Xia Yilun Kong Yongzhe Chang Bo Yuan Zhiheng Li Xueqian Wang Bin Liang OffRL 55 3 0 05 Jun 2024
I-CTRL: Imitation to Control Humanoid Robots Through Constrained Reinforcement Learning Yashuai Yan Esteve Valls Mascaro Tobias Egle Dongheui Lee 43 4 0 14 May 2024
Learning Optimal Deterministic Policies with Stochastic Policy Gradients Alessandro Montenegro Marco Mussi Alberto Maria Metelli Matteo Papini 50 2 0 03 May 2024
Constrained Reinforcement Learning Under Model Mismatch Zhongchang Sun Sihong He Fei Miao Shaofeng Zou 51 4 0 02 May 2024
S $^2$ AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud Billel Mokeddem Zhenghai Xue Linsey Pang Bo An Haipeng Chen Sanjay Chawla 51 3 0 02 May 2024
A survey of air combat behavior modeling using machine learning Patrick Ribu Gorton Andreas Strand K. Brathen AI4CE 42 8 0 22 Apr 2024
Egret: Reinforcement Mechanism for Sequential Computation Offloading in Edge Computing Haosong Peng Yufeng Zhan Dihua Zhai Xiaopu Zhang Yuanqing Xia 35 1 0 14 Apr 2024
PhysReaction: Physically Plausible Real-Time Humanoid Reaction Synthesis via Forward Dynamics Guided 4D Imitation Yunze Liu Changxi Chen Chenjing Ding Li Yi 39 6 0 01 Apr 2024
PaperBot: Learning to Design Real-World Tools Using Paper Ruoshi Liu Junbang Liang Sruthi Sudhakar Huy Ha Cheng Chi Shuran Song Carl Vondrick SSL 51 4 0 14 Mar 2024
Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test Kathy Jang Nathan Lichtlé Eugene Vinitsky Adit Shah Matt Bunting ... Dan Work M. D. Monache Jonathan Sprinkle Jonathan W. Lee Alexandre M. Bayen 33 7 0 26 Feb 2024
Leveraging Approximate Model-based Shielding for Probabilistic Safety Guarantees in Continuous Environments Alexander W. Goodall Francesco Belardinelli OffRL 35 1 0 01 Feb 2024
Behind the Myth of Exploration in Policy Gradients Adrien Bolland Gaspard Lambrechts Damien Ernst 59 0 0 31 Jan 2024
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning Guojian Wang Faguo Wu Xiao Zhang Ning Guo Zhiming Zheng 41 3 0 27 Dec 2023
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks Stephanie Milani Anssi Kanervisto Karolis Ramanauskas Sander Schulhoff Brandon Houghton Rohin Shah 23 7 0 05 Dec 2023
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 29 17 0 22 Sep 2023
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO Yangkun Chen Joseph Suárez Junjie Zhang Chenghui Yu Bo Wu ... Sharada Mohanty Jiaxin Chen Xiu Li Xiaolong Zhu Phillip Isola 34 0 0 30 Aug 2023
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation Zhehua Zhou Jiayang Song Xuan Xie Zhan Shu Lei Ma Dikai Liu Jianxiong Yin Simon See 35 15 0 31 Jul 2023
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning Hongyu Ding Yuan-Yan Tang Qing Wu Bo Wang Chunlin Chen Zhi Wang 40 4 0 16 Jul 2023
Training Diffusion Models with Reinforcement Learning Kevin Black Michael Janner Yilun Du Ilya Kostrikov Sergey Levine EGVM 46 320 0 22 May 2023
S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning R. Dutta Qinchen Wang Ankur Singh Dhruv Kumarjiguda Xiaoli Li Senthilnath Jayavelu 24 2 0 12 May 2023
Policy Gradient Algorithms Implicitly Optimize by Continuation Adrien Bolland Gilles Louppe D. Ernst 39 3 0 11 May 2023
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning Yulai Zhao Zhuoran Yang Zhaoran Wang Jason D. Lee 48 3 0 08 May 2023
Model-agnostic Measure of Generalization Difficulty Akhilan Boopathy Kevin Liu Jaedong Hwang Shu Ge Asaad Mohammedsaleh Ila Fiete 83 4 0 01 May 2023
Graph Exploration for Effective Multi-agent Q-Learning Ainur Zhaikhan Ali H. Sayed 42 1 0 19 Apr 2023
Real-Time Model-Free Deep Reinforcement Learning for Force Control of a Series Elastic Actuator Ruturaj Sambhus Aydin Gokce Stephen Welch Connor W. Herron Alexander Leonessa 39 0 0 11 Apr 2023
Modularizing and Assembling Cognitive Map Learners via Hyperdimensional Computing N. McDonald 34 6 0 10 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 45 15 0 04 Apr 2023
UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning Weikang Wan Haoran Geng Yun-Hai Liu Zikang Shan Yaodong Yang Li Yi He Wang 57 94 0 02 Apr 2023
When Learning Is Out of Reach, Reset: Generalization in Autonomous Visuomotor Reinforcement Learning Zichen Zhang Luca Weihs OffRL 29 5 0 30 Mar 2023
Open Problems and Modern Solutions for Deep Reinforcement Learning Weiqin Chen OffRL 23 0 0 05 Feb 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 55 0 0 04 Feb 2023
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning Darshita Jain A. Majumder S. Dutta Swagat Kumar SSL 34 1 0 31 Jan 2023
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