Addressing Function Approximation Error in Actor-Critic Methods

26 February 2018

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

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Title
Retrospex: Language Agent Meets Offline Reinforcement Learning Critic Yufei Xiang Yiqun Shen Yeqin Zhang Cam-Tu Nguyen OffRL LLMAG KELM LRM 16 0 0 17 May 2025
SAINT: Attention-Based Modeling of Sub-Action Dependencies in Multi-Action Policies Matthew Landers Taylor W. Killian Thomas Hartvigsen Afsaneh Doryab 7 0 0 17 May 2025
ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Jing-Cheng Pang Kaiyuan Li Yansen Wang Si-Hang Yang Shengyi Jiang Yang Yu OffRL LLMAG LM&Ro LRM 19 0 0 15 May 2025
Monte Carlo Beam Search for Actor-Critic Reinforcement Learning in Continuous Control Hazim Alzorgan Abolfazl Razi 29 0 0 13 May 2025
A critical assessment of reinforcement learning methods for microswimmer navigation in complex flows Selim Mecanna Aurore Loisy Christophe Eloy 31 0 0 08 May 2025
Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning Hao Peng Xiang Huang Shuo Sun Ruitong Zhang Philip S. Yu 48 0 0 07 May 2025
Optimization of Infectious Disease Intervention Measures Based on Reinforcement Learning - Empirical analysis based on UK COVID-19 epidemic data Baida Zhang Yakai Chen Huichun Li Zhenghu Zu 34 0 0 07 May 2025
Joint Resource Management for Energy-efficient UAV-assisted SWIPT-MEC: A Deep Reinforcement Learning Approach Yue Chen Hui Kang Jiahui Li Geng Sun Boxiong Wang Jiacheng Wang Cong Liang Shuang Liang Dusit Niyato 49 0 0 06 May 2025
Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks: The GATTACA Framework Andrzej Mizera Jakub Zarzycki GNN AI4CE 44 0 0 05 May 2025
Aerodynamic and structural airfoil shape optimisation via Transfer Learning-enhanced Deep Reinforcement Learning David Ramos Lucas Lacasa E. Valero G. Rubio AI4CE 27 0 0 05 May 2025
Constructing an Optimal Behavior Basis for the Option Keyboard L. N. Alegre A. Bazzan André Barreto Bruno C. da Silva 26 0 0 01 May 2025
Interactive Double Deep Q-network: Integrating Human Interventions and Evaluative Predictions in Reinforcement Learning of Autonomous Driving Alkis Sygkounas Ioannis Athanasiadis A. Persson M. Felsberg Amy Loutfi OffRL 30 0 0 28 Apr 2025
Model-based controller assisted domain randomization in deep reinforcement learning: application to nonlinear powertrain control Heisei Yonezawa Ansei Yonezawa Itsuro Kajiwara 49 0 0 28 Apr 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu Wei Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 93 0 0 27 Apr 2025
Dynamic Action Interpolation: A Universal Approach for Accelerating Reinforcement Learning with Expert Guidance Wenjun Cao 52 0 0 26 Apr 2025
KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation Jiabin Fan Guoqing Luo Michael Bowling Lili Mou OffRL 68 0 0 26 Apr 2025
BiasBench: A reproducible benchmark for tuning the biases of event cameras Andreas Ziegler David Joseph Thomas Gossard Emil Moldovan A. Zell 34 0 0 25 Apr 2025
Hybrid Reinforcement Learning and Model Predictive Control for Adaptive Control of Hydrogen-Diesel Dual-Fuel Combustion Julian Bedei Murray McBain Alexander Winkler C. R. Koch Jakob Andert David C. Gordon AI4CE 17 0 0 23 Apr 2025
AlphaGrad: Non-Linear Gradient Normalization Optimizer Soham Sane ODL 56 0 0 22 Apr 2025
CaRoSaC: A Reinforcement Learning-Based Kinematic Control of Cable-Driven Parallel Robots by Addressing Cable Sag through Simulation Rohit Dhakate Thomas Jantos Eren Allak Stephan Weiss J. Steinbrener 42 0 0 22 Apr 2025
Learning to Reason under Off-Policy Guidance Jianhao Yan Yafu Li Zican Hu Zhi Wang Ganqu Cui Xiaoye Qu Yu Cheng Yue Zhang OffRL LRM 44 0 0 21 Apr 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
A Reinforcement Learning Method for Environments with Stochastic Variables: Post-Decision Proximal Policy Optimization with Dual Critic Networks L. Felizardo Edoardo Fadda Paolo Brandimarte E. Del-Moral-Hernandez Mariá Cristina Vasconcelos Nascimento OffRL 35 0 0 07 Apr 2025
Deep Reinforcement Learning Algorithms for Option Hedging Andrei Neagu Frédéric Godin Leila Kosseim 28 0 0 07 Apr 2025
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning Shiguang Sun Hanbo Zhang Zeyang Liu Xinrui Yang Lipeng Wan Bing Yan Xingyu Chen Xuguang Lan 40 0 0 05 Apr 2025
Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-Diversity Lisa Coiffard Paul Templier Antoine Cully OffRL 49 0 0 02 Apr 2025
RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations Enrico Marchesini Benjamin Donnot Constance Crozier Ian Dytham Christian Merz Lars Schewe Nico Westerbeck Cathy Wu Antoine Marot P. Donti OffRL 57 1 0 29 Mar 2025
Sample-Efficient Reinforcement Learning of Koopman eNMPC Daniel Mayfrank M. Velioglu Alexander Mitsos Manuel Dahmen OffRL 49 0 0 24 Mar 2025
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model Moritz A. Zanger Pascal R. van der Vaart Wendelin Bohmer M. Spaan UQCV BDL 200 0 0 14 Mar 2025
Goal Conditioned Reinforcement Learning for Photo Finishing Tuning Jiarui Wu Yujin Wang Lingen Li Zhang Fan Tianfan Xue 34 0 0 10 Mar 2025
Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control T. Lee Donghwan Lee 35 0 0 28 Feb 2025
Hyperspherical Normalization for Scalable Deep Reinforcement Learning Hojoon Lee Youngdo Lee Takuma Seno Donghu Kim Peter Stone Jaegul Choo 63 1 0 24 Feb 2025
Yes, Q-learning Helps Offline In-Context RL Denis Tarasov Alexander Nikulin Ilya Zisman Albina Klepach Andrei Polubarov Nikita Lyubaykin Alexander Derevyagin Igor Kiselev Vladislav Kurenkov OffRL OnRL 228 0 0 24 Feb 2025
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Xuyang Li Romit Maulik 46 0 0 24 Feb 2025
A Simulation Pipeline to Facilitate Real-World Robotic Reinforcement Learning Applications Jefferson Silveira Joshua A. Marshall Sidney N. Givigi Jr 64 0 0 24 Feb 2025
SpikeRL: A Scalable and Energy-efficient Framework for Deep Spiking Reinforcement Learning Tokey Tahmid Mark Gates P. Luszczek Catherine D. Schuman 38 0 0 21 Feb 2025
PPO-MI: Efficient Black-Box Model Inversion via Proximal Policy Optimization Xinpeng Shou 81 0 0 21 Feb 2025
DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation James R. Han Hugues Thomas Jian Zhang Nicholas Rhinehart T. Barfoot 69 1 0 17 Feb 2025
Maximum Entropy Reinforcement Learning with Diffusion Policy Xiaoyi Dong Jian Cheng Xinsong Zhang 46 0 0 17 Feb 2025
Learning a Diffusion Model Policy from Rewards via Q-Score Matching Michael Psenka Alejandro Escontrela Pieter Abbeel Yi Ma DiffM 93 24 0 17 Feb 2025
Task Offloading in Vehicular Edge Computing using Deep Reinforcement Learning: A Survey Ashab Uddin Ahmed Hamdi Sakr Ning Zhang OffRL 62 0 0 10 Feb 2025
Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains Manon Flageat J. Huber François Hélénon Stéphane Doncieux Antoine Cully 55 0 0 10 Feb 2025
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning Wesley A. Suttle A. Suresh Carlos Nieto-Granda OffRL 97 0 0 06 Feb 2025
Mirror Descent Actor Critic via Bounded Advantage Learning Ryo Iwaki 93 0 0 06 Feb 2025
Learning from Active Human Involvement through Proxy Value Propagation Zhenghao Peng Wenjie Mo Chenda Duan Quanyi Li Bolei Zhou 107 14 0 05 Feb 2025
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play Zelai Xu Chao Yu Chao Yu Huining Yuan Xiangmin Yi ... Wenhao Tang Yu-Xiang Wang Wenbo Ding Xiusi Chen Yu Wang 145 0 0 04 Feb 2025
Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation Siyu Wang Xiaocong Chen Lina Yao CML OffRL 93 0 0 04 Feb 2025
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning Woojun Kim Katia P. Sycara OffRL 94 0 0 30 Jan 2025
FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities Mingyuan Li Jiahao Wang Bo Du Jun Shen Qiang Wu 53 1 0 28 Jan 2025
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning Hao Sun M. Schaar 94 14 0 28 Jan 2025