Delay-Aware Model-Based Reinforcement Learning for Continuous Control

11 May 2020

Ding Zhao

Papers citing "Delay-Aware Model-Based Reinforcement Learning for Continuous Control"

26 / 26 papers shown

Title
Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Delayed Observation Songchen Fu Siang Chen Shaojing Zhao Letian Bai Ta Li Yonghong Yan 27 0 0 06 May 2025
Inverse Delayed Reinforcement Learning S. Zhan Qingyuan Wu Zhian Ruan Frank Yang Philip Wang Yixuan Wang Ruochen Jiao Chao Huang Qi Zhu 65 0 0 04 Dec 2024
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control Devdhar Patel H. Siegelmann OffRL 37 0 0 11 Oct 2024
Trajectory Planning for Teleoperated Space Manipulators Using Deep Reinforcement Learning Bo Xia Xianru Tian Bo Yuan Zhiheng Li Bin Liang Xueqian Wang 43 0 0 10 Aug 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 40 3 0 05 Jun 2024
Variational Delayed Policy Optimization Qingyuan Wu S. Zhan Yixuan Wang Yuhui Wang Chung-Wei Lin Chen Lv Qi Zhu Chao Huang OffRL 38 4 0 23 May 2024
Reinforcement Learning from Delayed Observations via World Models Armin Karamzade Kyungmin Kim Montek Kalsi Roy Fox 44 7 0 18 Mar 2024
Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays Qingyuan Wu S. Zhan Yixuan Wang Yuhui Wang Chung-Wei Lin Chen Lv Qi Zhu Jürgen Schmidhuber Chao Huang OffRL 43 1 0 05 Feb 2024
Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning Approach Zhiyuan Yao Ionuţ Florescu Chihoon Lee OffRL 14 2 0 01 Feb 2024
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control M. Malmir Josip Josifovski Noah Klarmann Alois C. Knoll 26 2 0 15 Jun 2023
Adaptive PD Control using Deep Reinforcement Learning for Local-Remote Teleoperation with Stochastic Time Delays Lucy McCutcheon Saber Fallah 17 0 0 26 May 2023
Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization Homayoon Farrahi Rupam Mahmood 24 5 0 09 May 2023
Neural Laplace Control for Continuous-time Delayed Systems Samuel Holt Alihan Huyuk Zhaozhi Qian Hao Sun M. Schaar OffRL 21 10 0 24 Feb 2023
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration Chao Yu Xinyi Yang Jiaxuan Gao Jiayu Chen Yunfei Li ... Yunfei Xiang Rui Huang Huazhong Yang Yi Wu Yu Wang 33 35 0 09 Jan 2023
Temporally Layered Architecture for Adaptive, Distributed and Continuous Control Devdhar Patel Joshua Russell Frances Walsh T. Rahman Terrance Sejnowski H. Siegelmann AI4CE 35 1 0 25 Dec 2022
DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning Tingting Yuan Hwei-Ming Chung Jie Yuan Xiaoming Fu 24 13 0 03 Dec 2022
The Role of Time Delay in Sim2real Transfer of Reinforcement Learning for Cyber-Physical Systems Mohamad Chehadeh I. Boiko Yahya Zweiri 31 1 0 30 Sep 2022
Delayed Reinforcement Learning by Imitation P. Liotet Davide Maran L. Bisi Marcello Restelli 11 12 0 11 May 2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training Peide Huang Mengdi Xu Fei Fang Ding Zhao 77 37 0 19 Feb 2022
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays Somjit Nath Mayank Baranwal H. Khadilkar OffRL 11 28 0 17 Aug 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Acting in Delayed Environments with Non-Stationary Markov Policies E. Derman Gal Dalal Shie Mannor 19 34 0 28 Jan 2021
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments Baiming Chen Zuxin Liu Jiacheng Zhu Mengdi Xu Wenhao Ding Ding Zhao 17 35 0 02 Jan 2021
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments Baiming Chen Mengdi Xu Zuxin Liu Liang-Sheng Li Ding Zhao 9 37 0 11 May 2020
A review on Deep Reinforcement Learning for Fluid Mechanics Paul Garnier J. Viquerat Jean Rabault A. Larcher A. Kuhnle E. Hachem AI4CE 16 253 0 12 Aug 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 273 5,660 0 05 Dec 2016