Addressing Function Approximation Error in Actor-Critic Methods

26 February 2018

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

50 / 849 papers shown

Title
Efficient Deep Reinforcement Learning Requires Regulating Overfitting Qiyang Li Aviral Kumar Ilya Kostrikov Sergey Levine OffRL 32 31 0 20 Apr 2023
Aiding reinforcement learning for set point control Ruoqing Zhang Per Mattsson T. Wigren 21 3 0 20 Apr 2023
Filter-Aware Model-Predictive Control Baris Kayalibay Atanas Mirchev Ahmed Agha Patrick van der Smagt Justin Bayer 44 0 0 20 Apr 2023
Robust Deep Reinforcement Learning Scheduling via Weight Anchoring Steffen Gracla Edgar Beck C. Bockelmann Armin Dekorsy OOD 38 3 0 20 Apr 2023
Integration of Reinforcement Learning Based Behavior Planning With Sampling Based Motion Planning for Automated Driving Marvin Klimke Benjamin Völz M. Buchholz 26 5 0 17 Apr 2023
Efficient Quality-Diversity Optimization through Diverse Quality Species Ryan Wickman Bibek Poudel Taylor Michael Villarreal Xiaofei Zhang Weizi Li 38 6 0 14 Apr 2023
Model Predictive Control with Self-supervised Representation Learning Jonas A. Matthies Muhammad Burhan Hafez Mostafa Kotb S. Wermter SSL 13 0 0 14 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 34 6 0 07 Apr 2023
Generative Adversarial Neuroevolution for Control Behaviour Imitation Maximilien Le Clei Pierre C. Bellec 21 0 0 03 Apr 2023
Adaptive formation motion planning and control of autonomous underwater vehicles using deep reinforcement learning Behnaz Hadi A. Khosravi Pouria Sarhadi 20 18 0 01 Apr 2023
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations Anqi Li Byron Boots Ching-An Cheng OffRL 28 16 0 30 Mar 2023
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization Haoran Xu Li Jiang Jianxiong Li Zhuoran Yang Zhaoran Wang Victor Chan Xianyuan Zhan OffRL 36 73 0 28 Mar 2023
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers Valentin Macé Raphael Boige Félix Chalumeau Thomas Pierrot Guillaume Richard Nicolas Perrin-Gilbert OffRL 38 12 0 27 Mar 2023
Safe and Sample-efficient Reinforcement Learning for Clustered Dynamic Environments Hongyi Chen Changliu Liu OffRL 27 14 0 24 Mar 2023
Multi-Task Reinforcement Learning in Continuous Control with Successor Feature-Based Concurrent Composition Y. Liu Aamir Ahmad 29 4 0 24 Mar 2023
SACPlanner: Real-World Collision Avoidance with a Soft Actor Critic Local Planner and Polar State Representations Khaled Nakhleh Minahil Raza Mack Tang M. Andrews Rinu Boney I. Hadžić Jeongran Lee Atefeh Mohajeri Karina Palyutina 20 4 0 21 Mar 2023
Towards Real-World Applications of Personalized Anesthesia Using Policy Constraint Q Learning for Propofol Infusion Control Xiuding Cai Jiao Chen Yaoyao Zhu Beiming Wang Yu Yao OffRL 38 5 0 17 Mar 2023
Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics Baihan Lin Guillermo Cecchi Djallel Bouneffouf OffRL AI4TS AI4MH 43 10 0 16 Mar 2023
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning Han Zheng Xufang Luo Pengfei Wei Xuan Song Dongsheng Li Jing Jiang OffRL OnRL 18 21 0 14 Mar 2023
Evolving Populations of Diverse RL Agents with MAP-Elites Thomas Pierrot Arthur Flajolet 35 8 0 09 Mar 2023
Soft Actor-Critic Algorithm with Truly-satisfied Inequality Constraint Taisuke Kobayashi 53 3 0 08 Mar 2023
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting Hongyao Tang Hao Fei Jianye Hao 28 1 0 02 Mar 2023
Hallucinated Adversarial Control for Conservative Offline Policy Evaluation Jonas Rothfuss Bhavya Sukhija Tobias Birchler Parnian Kassraie Andreas Krause OffRL 21 10 0 02 Mar 2023
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Young-Jin Sung 32 7 0 01 Mar 2023
Human-Inspired Framework to Accelerate Reinforcement Learning Ali Beikmohammadi Sindri Magnússon OffRL 29 4 0 28 Feb 2023
The In-Sample Softmax for Offline Reinforcement Learning Chenjun Xiao Han Wang Yangchen Pan Adam White Martha White OffRL 29 26 0 28 Feb 2023
High-Precise Robot Arm Manipulation based on Online Iterative Learning and Forward Simulation with Positioning Error Below End-Effector Physical Minimum Displacement Weiming Qu Tianlin Liu D. Luo 21 2 0 26 Feb 2023
Gauss-Newton Temporal Difference Learning with Nonlinear Function Approximation Zhifa Ke Junyu Zhang Zaiwen Wen 24 0 0 25 Feb 2023
Neural Laplace Control for Continuous-time Delayed Systems Samuel Holt Alihan Huyuk Zhaozhi Qian Hao Sun M. Schaar OffRL 34 10 0 24 Feb 2023
Why Target Networks Stabilise Temporal Difference Methods Matt Fellows Matthew Smith Shimon Whiteson OOD AAML 21 7 0 24 Feb 2023
A Supervisory Learning Control Framework for Autonomous & Real-time Task Planning for an Underactuated Cooperative Robotic task Sander De Witte Tom Lefebvre Thijs Van Hauwermeiren Guillaume Crevecoeur 21 0 0 22 Feb 2023
Behavior Proximal Policy Optimization Zifeng Zhuang Kun Lei Jinxin Liu Donglin Wang Yilang Guo OffRL 30 34 0 22 Feb 2023
Curiosity-driven Exploration in Sparse-reward Multi-agent Reinforcement Learning Jiong Li Pratik Gajane 37 4 0 21 Feb 2023
Improving Deep Policy Gradients with Value Function Search Enrico Marchesini Chris Amato 26 9 0 20 Feb 2023
Price of Anarchy in a Double-Sided Critical Distribution System David Sychrovský Jakub Cerny Sylvain Lichau M. Loebl 23 1 0 20 Feb 2023
Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot Tao Huang Kai-xiang Chen Bin Li Yunhui Liu Qingxu Dou 37 23 0 20 Feb 2023
Stochastic Generative Flow Networks L. Pan Dinghuai Zhang Moksh Jain Longbo Huang Yoshua Bengio BDL 49 31 0 19 Feb 2023
Swapped goal-conditioned offline reinforcement learning Wenyan Yang Huiling Wang Dingding Cai Joni Pajarinen Joni-Kristen Kämäräinen OffRL OnRL 36 1 0 17 Feb 2023
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs Stefan Werner Sebastian Peitz 41 9 0 14 Feb 2023
Time-attenuating Twin Delayed DDPG Reinforcement Learning for Trajectory Tracking Control of Quadrotors Boyuan Deng Jian Sun Zhuo Li G. Wang 35 0 0 13 Feb 2023
Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving Zhiyu Huang Haochen Liu Jingda Wu Wenhui Huang Chen Lv 33 17 0 08 Feb 2023
Efficient Online Reinforcement Learning with Offline Data Philip J. Ball Laura M. Smith Ilya Kostrikov Sergey Levine OffRL OnRL 42 163 0 06 Feb 2023
A Strong Baseline for Batch Imitation Learning Matthew Smith Lucas Maystre Zhenwen Dai K. Ciosek OffRL 25 4 0 06 Feb 2023
Open Problems and Modern Solutions for Deep Reinforcement Learning Weiqin Chen OffRL 23 0 0 05 Feb 2023
Reinforcing User Retention in a Billion Scale Short Video Recommender System Qingpeng Cai Shuchang Liu Xueliang Wang Tianyou Zuo Wentao Xie Bin Yang Dong Zheng Peng Jiang Kun Gai OffRL 33 41 0 03 Feb 2023
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning Haichao Zhang Weiwen Xu Haonan Yu CLL OffRL OnRL 42 62 0 02 Feb 2023
Distillation Policy Optimization Jianfei Ma OffRL 26 1 0 01 Feb 2023
Anti-Exploration by Random Network Distillation Alexander Nikulin Vladislav Kurenkov Denis Tarasov Sergey Kolesnikov 38 24 0 31 Jan 2023
PAC-Bayesian Soft Actor-Critic Learning Bahareh Tasdighi Abdullah Akgul Manuel Haussmann Kenny Kazimirzak Brink M. Kandemir 34 3 0 30 Jan 2023
Automatic Intersection Management in Mixed Traffic Using Reinforcement Learning and Graph Neural Networks Marvin Klimke Benjamin Völz M. Buchholz 41 13 0 30 Jan 2023