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Addressing Function Approximation Error in Actor-Critic Methods

26 February 2018

Papers citing "Addressing Function Approximation Error in Actor-Critic Methods"

50 / 2,180 papers shown

Title
Revisiting the Minimalist Approach to Offline Reinforcement Learning Denis Tarasov Vladislav Kurenkov Alexander Nikulin Sergey Kolesnikov OffRL 100 50 0 16 May 2023
Prompt-Tuning Decision Transformer with Preference Ranking Shengchao Hu Li Shen Ya Zhang Dacheng Tao OffRL 83 14 0 16 May 2023
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research Jiaming Ji Jiayi Zhou Borong Zhang Juntao Dai Xuehai Pan Ruiyang Sun Weidong Huang Yiran Geng Mickel Liu Yaodong Yang OffRL 146 52 0 16 May 2023
A Deep RL Approach on Task Placement and Scaling of Edge Resources for Cellular Vehicle-to-Network Service Provisioning Cyril Shih-Huan Hsu Jorge Martín-Pérez D. D. Vleeschauwer K. Kondepu Xi Li Xi Li 61 0 0 16 May 2023
What Matters in Reinforcement Learning for Tractography Antoine Théberge Christian Desrosiers Maxime Descoteaux Pierre-Marc Jodoin OffRL 46 2 0 15 May 2023
On Practical Robust Reinforcement Learning: Practical Uncertainty Set and Double-Agent Algorithm Ukjo Hwang Songnam Hong 47 1 0 11 May 2023
GFlowNets with Human Feedback Yinchuan Li Shuang Luo Yunfeng Shao Jianye Hao AI4CE 68 5 0 11 May 2023
Deep Reinforcement Learning Based Resource Allocation for Cloud Native Wireless Network L. Wang Jiasheng Wu Yueyuan Gao Jingjing Zhang 27 3 0 10 May 2023
Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization Homayoon Farrahi Rupam Mahmood 68 5 0 09 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao David Meger Doina Precup 74 4 0 09 May 2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation Lei Yuan F. Chen Zhongzhan Zhang Yang Yu AAML 100 10 0 09 May 2023
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning Yulai Zhao Zhuoran Yang Zhaoran Wang Jason D. Lee 77 3 0 08 May 2023
DEFENDER: DTW-Based Episode Filtering Using Demonstrations for Enhancing RL Safety André Rosa de Sousa Porfírio Correia L. A. Alexandre OffRL 15 0 0 08 May 2023
A Minimal Approach for Natural Language Action Space in Text-based Games Dongwon Kelvin Ryu Meng Fang Shirui Pan Gholamreza Haffari Ehsan Shareghi LLMAG 75 2 0 06 May 2023
HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation Wen-Min Zhou Bowen Jiang Fan Yang Chris Paxton David Held 128 33 0 06 May 2023
Federated Ensemble-Directed Offline Reinforcement Learning Desik Rengarajan N. Ragothaman D. Kalathil S. Shakkottai OffRL 93 1 0 04 May 2023
Masked Trajectory Models for Prediction, Representation, and Control Philipp Wu Arjun Majumdar Kevin Stone Yixin Lin Igor Mordatch Pieter Abbeel Aravind Rajeswaran OffRL 67 39 0 04 May 2023
Simple Noisy Environment Augmentation for Reinforcement Learning Raad Khraishi Ramin Okhrati OffRL 45 1 0 04 May 2023
CCIL: Context-conditioned imitation learning for urban driving Ke Guo Wei Jing Junbo Chen Jia Pan 101 10 0 04 May 2023
An Imitation Learning Based Algorithm Enabling Priori Knowledge Transfer in Modern Electricity Markets for Bayesian Nash Equilibrium Estimation Ziqing Zhu K. Chan S. Bu Ze Hu S. Xia 50 2 0 04 May 2023
Map-based Experience Replay: A Memory-Efficient Solution to Catastrophic Forgetting in Reinforcement Learning Muhammad Burhan Hafez Tilman Immisch Tom Weber S. Wermter CLL 97 6 0 03 May 2023
More Than an Arm: Using a Manipulator as a Tail for Enhanced Stability in Legged Locomotion Huang Huang Antonio Loquercio Ashish Kumar Neerja Thakkar Ken Goldberg Jitendra Malik 57 2 0 02 May 2023
Mixed-Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Electric Vehicle Energy Management Jinming Xu N. L. Azad Yuan Lin 58 0 0 02 May 2023
A Coupled Flow Approach to Imitation Learning G. Freund Elad Sarafian Sarit Kraus OOD 73 13 0 29 Apr 2023
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories Li-Cheng Lan Huan Zhang Cho-Jui Hsieh OODD 73 10 0 26 Apr 2023
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning Cheng Lu Huayu Chen Jianfei Chen Hang Su Chongxuan Li Jun Zhu DiffM OffRL 143 75 0 25 Apr 2023
A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation Steffen Gracla C. Bockelmann Armin Dekorsy 52 3 0 25 Apr 2023
Parallel bootstrap-based on-policy deep reinforcement learning for continuous flow control applications J. Viquerat E. Hachem 56 3 0 24 Apr 2023
How to Control Hydrodynamic Force on Fluidic Pinball via Deep Reinforcement Learning Haodong Feng Yue Wang Hui Xiang Zhiyang Jin Dixia Fan AI4CE 68 10 0 23 Apr 2023
Approximate Shielding of Atari Agents for Safe Exploration Alexander W. Goodall Francesco Belardinelli 45 2 0 21 Apr 2023
Efficient Deep Reinforcement Learning Requires Regulating Overfitting Qiyang Li Aviral Kumar Ilya Kostrikov Sergey Levine OffRL 118 36 0 20 Apr 2023
Aiding reinforcement learning for set point control Ruoqing Zhang Per Mattsson T. Wigren 120 3 0 20 Apr 2023
Filter-Aware Model-Predictive Control Baris Kayalibay Atanas Mirchev Ahmed Agha Patrick van der Smagt Justin Bayer 98 0 0 20 Apr 2023
Robust Deep Reinforcement Learning Scheduling via Weight Anchoring Steffen Gracla Edgar Beck C. Bockelmann Armin Dekorsy OOD 62 3 0 20 Apr 2023
CASOG: Conservative Actor-critic with SmOoth Gradient for Skill Learning in Robot-Assisted Intervention Hao Li Xiao-Hu Zhou Xiaoliang Xie Shiqi Liu Zhen-Qiu Feng Z. Hou OffRL 55 11 0 19 Apr 2023
Heterogeneous-Agent Reinforcement Learning Yifan Zhong J. Kuba Xidong Feng Siyi Hu Jiaming Ji Yaodong Yang 82 47 0 19 Apr 2023
Long-Term Fairness with Unknown Dynamics Tongxin Yin Reilly P. Raab M. Liu Yang Liu FaML 94 28 0 19 Apr 2023
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints Kazumi Kasaura Shuwa Miura Tadashi Kozuno Ryo Yonetani Kenta Hoshino Y. Hosoe 75 14 0 18 Apr 2023
Integration of Reinforcement Learning Based Behavior Planning With Sampling Based Motion Planning for Automated Driving Marvin Klimke Benjamin Völz M. Buchholz 48 6 0 17 Apr 2023
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning Siyu Wang Xiaocong Chen Dietmar Jannach Lina Yao CML OffRL 114 30 0 17 Apr 2023
Efficient Quality-Diversity Optimization through Diverse Quality Species Ryan Wickman Bibek Poudel Taylor Michael Villarreal Xiaofei Zhang Weizi Li 102 6 0 14 Apr 2023
Model Predictive Control with Self-supervised Representation Learning Jonas A. Matthies Muhammad Burhan Hafez Mostafa Kotb S. Wermter SSL 25 0 0 14 Apr 2023
A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer in Autonomous Driving Dian-Tao Li Ostap Okhrin 104 3 0 14 Apr 2023
Multi-agent Policy Reciprocity with Theoretical Guarantee Haozhi Wang Yinchuan Li Qing Wang Yunfeng Shao Jianye Hao 58 0 0 12 Apr 2023
Reinforcement Learning-Based Black-Box Model Inversion Attacks Gyojin Han Jaehyun Choi Haeil Lee Junmo Kim MIACV 65 37 0 10 Apr 2023
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning Kevin Zakka Philipp Wu Laura M. Smith Nimrod Gileadi Taylor A. Howell ... Sumeet Singh Yuval Tassa Pete Florence Andy Zeng Pieter Abbeel 109 32 0 09 Apr 2023
Deep Reinforcement Learning-Based Mapless Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile Robots Hafiq Anas Ong Wee Hong O. A. Malik 16 3 0 07 Apr 2023
UAV Obstacle Avoidance by Human-in-the-Loop Reinforcement in Arbitrary 3D Environment Xuyang Li Jianwu Fang Kai Du K. Mei Jianru Xue 68 6 0 07 Apr 2023
A modular framework for stabilizing deep reinforcement learning control Nathan P. Lawrence Philip D. Loewen Shuyuan Wang M. Forbes R. Bhushan Gopaluni 71 1 0 07 Apr 2023
Optimal Energy Storage Scheduling for Wind Curtailment Reduction and Energy Arbitrage: A Deep Reinforcement Learning Approach Jinhao Li Changlong Wang Hao Wang 27 3 0 05 Apr 2023