Control Regularization for Reduced Variance Reinforcement Learning

14 May 2019

Swarat Chaudhuri

Papers citing "Control Regularization for Reduced Variance Reinforcement Learning"

20 / 20 papers shown

Title
Simplex-enabled Safe Continual Learning Machine H. Cao Y. Mao Yihao Cai L. Sha Marco Caccamo 39 3 0 05 Sep 2024
Learning Prehensile Dexterity by Imitating and Emulating State-only Observations Yunhai Han Zhenyang Chen Harish Ravichandar 38 5 0 08 Apr 2024
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions Tongxin Li Yiheng Lin Shaolei Ren Adam Wierman AAML OffRL 34 6 0 20 Jul 2023
Reinforcement Learning-Based Air Traffic Deconfliction Denis Osipychev D. Margineantu Girish Chowdhary 29 1 0 05 Jan 2023
Example When Local Optimal Policies Contain Unstable Control B. Song Jean-Jacques E. Slotine Quang Pham 46 1 0 15 Sep 2022
Reinforcement Learning with Prior Policy Guidance for Motion Planning of Dual-Arm Free-Floating Space Robot Yu-wen Cao Shengjie Wang Xiang Zheng Wen-Xuan Ma Xinru Xie Lei Liu 13 25 0 03 Sep 2022
Barrier Certified Safety Learning Control: When Sum-of-Square Programming Meets Reinforcement Learning He-lu Huang Zerui Li Dongkun Han 35 2 0 16 Jun 2022
Robot Learning of Mobile Manipulation with Reachability Behavior Priors Snehal Jauhri Jan Peters Georgia Chalvatzaki 18 45 0 08 Mar 2022
LyaNet: A Lyapunov Framework for Training Neural ODEs I. D. Rodriguez Aaron D. Ames Yisong Yue 33 51 0 05 Feb 2022
Reinforcement Learning Your Way: Agent Characterization through Policy Regularization Charl Maree C. Omlin 24 8 0 21 Jan 2022
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics Krishan Rana Vibhavari Dasagi Jesse Haviland Ben Talbot Michael Milford Niko Sünderhauf BDL OffRL 24 31 0 21 Jul 2021
Stabilizing Neural Control Using Self-Learned Almost Lyapunov Critics Ya-Chien Chang Sicun Gao 13 57 0 11 Jul 2021
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning Yonggan Fu Yongan Zhang Chaojian Li Zhongzhi Yu Yingyan Lin 37 6 0 11 Jun 2021
Stochastic Intervention for Causal Inference via Reinforcement Learning Tri Dung Duong Qian Li Guandong Xu CML 6 3 0 28 May 2021
Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation S. A. Khader Hang Yin Pietro Falco Danica Kragic 16 12 0 30 Mar 2021
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search Y. Fu Zhongzhi Yu Yongan Zhang Yingyan Lin 22 4 0 24 Dec 2020
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions Guanya Shi Wolfgang Hönig Xichen Shi Yisong Yue Soon-Jo Chung 29 70 0 10 Dec 2020
Learning from Simulation, Racing in Reality Eugenio Chisari Alexander Liniger Alisa Rupenyan Luc Van Gool John Lygeros 33 25 0 26 Nov 2020
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning Benjamin Rivière Wolfgang Hoenig Yisong Yue Soon-Jo Chung 24 91 0 26 Feb 2020
Robust Regression for Safe Exploration in Control Anqi Liu Guanya Shi Soon-Jo Chung Anima Anandkumar Yisong Yue 6 59 0 13 Jun 2019