Addressing Function Approximation Error in Actor-Critic Methods

26 February 2018

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

50 / 841 papers shown

Title
Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization Chenyang Miao Yunduan Cui Huiyun Li Xin Wu 24 5 0 26 Sep 2023
Adapting Double Q-Learning for Continuous Reinforcement Learning Arsenii Kuznetsov OffRL OnRL 24 0 0 25 Sep 2023
Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning Lukas Schneider Jonas Frey Takahiro Miki Marco Hutter 34 9 0 25 Sep 2023
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control Botian Xu Feng Gao Chao Yu Chao Yu Yi Wu Yu Wang 36 28 0 22 Sep 2023
PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring T. Shaik Xiaohui Tao Lin Li Haoran Xie Usha R. Acharya R. Gururajan Xujuan Zhou OffRL AI4TS 26 0 0 19 Sep 2023
Efficient Reinforcement Learning for Jumping Monopods Riccardo Bussola Michele Focchi Andrea Del Prete Daniele Fontanelli Luigi Palopoli 42 2 0 13 Sep 2023
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning Chenxiao Gao Chenyang Wu Mingjun Cao Rui Kong Zongzhang Zhang Yang Yu OffRL 34 13 0 12 Sep 2023
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance Qisen Yang Shenzhi Wang Qihang Zhang Gao Huang Shiji Song OffRL OnRL 30 8 0 04 Sep 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability Chuning Zhu Max Simchowitz Siri Gadipudi Abhishek Gupta 46 13 0 31 Aug 2023
Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation Satoshi Yamamori Jun Morimoto 28 0 0 31 Aug 2023
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse Siyuan Li Haoyang Li Jin Zhang Zhen Wang Peng Liu Chongjie Zhang OffRL 33 1 0 14 Aug 2023
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation Zhehua Zhou Jiayang Song Xuan Xie Zhan Shu Lei Ma Dikai Liu Jianxiong Yin Simon See 35 15 0 31 Jul 2023
Dynamic deep-reinforcement-learning algorithm in Partially Observed Markov Decision Processes Saki Omi Hyo-Sang Shin Namhoon Cho Antonios Tsourdos 27 3 0 29 Jul 2023
Worrisome Properties of Neural Network Controllers and Their Symbolic Representations J. Cyranka Kevin E. M. Church J. Lessard 42 0 0 28 Jul 2023
Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation Mahyar Abbasian Taha Rajabzadeh Ahmadreza Moradipari Seyed Amir Hossein Aqajari Hong-ming Lu Amir M. Rahmani 13 3 0 26 Jul 2023
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning Kaiwen Wang Junxiong Wang Yueying Li Nathan Kallus Immanuel Trummer Wen Sun GP 52 2 0 21 Jul 2023
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning Hongyu Ding Yuan-Yan Tang Qing Wu Bo Wang Chunlin Chen Zhi Wang 40 4 0 16 Jul 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning Marcel Hussing Jorge Armando Mendez Mendez Anisha Singrodia Cassandra Kent Eric Eaton OffRL 35 5 0 13 Jul 2023
Policy Contrastive Imitation Learning Jialei Huang Zhao-Heng Yin Yingdong Hu Yang Gao 34 3 0 06 Jul 2023
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing Qiulei Wang Lei Yan Gang Hu Wenli Chen Jean Rabault B. R. Noack AI4CE 23 24 0 05 Jul 2023
Is Risk-Sensitive Reinforcement Learning Properly Resolved? Ruiwen Zhou Minghuan Liu Kan Ren Xufang Luo Weinan Zhang Dongsheng Li 27 2 0 02 Jul 2023
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction Josh Bloom Pranjal Paliwal Apratim Mukherjee Carlo Pinciroli 30 3 0 22 Jun 2023
AdCraft: An Advanced Reinforcement Learning Benchmark Environment for Search Engine Marketing Optimization Maziar Gomrokchi Owen Levin Jeffrey Roach Jonah White OffRL 35 1 0 21 Jun 2023
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback Hang Wang Sen Lin Junshan Zhang 23 19 0 20 Jun 2023
Inter-Cell Network Slicing With Transfer Learning Empowered Multi-Agent Deep Reinforcement Learning Tianlun Hu Qi Liao Li-Yu Daisy Liu Georg Carle 27 3 0 20 Jun 2023
Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication Adam Callaghan Karl Mason Patrick Mannion 37 2 0 20 Jun 2023
Empowering NLG: Offline Reinforcement Learning for Informal Summarization in Online Domains Zhiwei Tai Po-Chuan Chen OffRL 26 0 0 17 Jun 2023
Cooperative Multi-Objective Reinforcement Learning for Traffic Signal Control and Carbon Emission Reduction Cheng Ruei Tang J. Hsieh Shin-You Teng 21 0 0 16 Jun 2023
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Arno Solin Joni Pajarinen OffRL 30 13 0 15 Jun 2023
High-speed Autonomous Racing using Trajectory-aided Deep Reinforcement Learning B. D. Evans H. Engelbrecht H. W. Jordaan 24 19 0 12 Jun 2023
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding Alizée Pace Hugo Yèche Bernhard Schölkopf Gunnar Rätsch Guy Tennenholtz OffRL 25 6 0 01 Jun 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 36 9 0 29 May 2023
On the Value of Myopic Behavior in Policy Reuse Kang Xu Chenjia Bai Shuang Qiu Haoran He Bin Zhao Zhen Wang Wei Li Xuelong Li 36 1 0 28 May 2023
Probing reaction channels via reinforcement learning Senwei Liang Aditya Singh Yuanran Zhu David T. Limmer Chao Yang 28 6 0 27 May 2023
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets Dinghuai Zhang H. Dai Nikolay Malkin Aaron Courville Yoshua Bengio L. Pan 30 36 0 26 May 2023
Policy Representation via Diffusion Probability Model for Reinforcement Learning Long Yang Zhixiong Huang Fenghao Lei Yucun Zhong Yiming Yang Cong Fang Shiting Wen Binbin Zhou Zhouchen Lin DiffM 41 40 0 22 May 2023
Off-Policy Average Reward Actor-Critic with Deterministic Policy Search Naman Saxena Subhojyoti Khastagir Shishir Kolathaya S. Bhatnagar OffRL 10 8 0 20 May 2023
Revisiting the Minimalist Approach to Offline Reinforcement Learning Denis Tarasov Vladislav Kurenkov Alexander Nikulin Sergey Kolesnikov OffRL 35 37 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 L. Valcarenghi Xi Li Chrysa Papagianni 13 0 0 16 May 2023
Prompt-Tuning Decision Transformer with Preference Ranking Shengchao Hu Li Shen Ya Zhang Dacheng Tao OffRL 34 14 0 16 May 2023
What Matters in Reinforcement Learning for Tractography Antoine Théberge Christian Desrosiers Maxime Descoteaux Pierre-Marc Jodoin OffRL 29 2 0 15 May 2023
Deep Reinforcement Learning Based Resource Allocation for Cloud Native Wireless Network L. Wang Jiasheng Wu Yueyuan Gao Jingjing Zhang 12 3 0 10 May 2023
Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization Homayoon Farrahi Rupam Mahmood 34 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 35 2 0 09 May 2023
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning Yulai Zhao Zhuoran Yang Zhaoran Wang Jason D. Lee 45 3 0 08 May 2023
Federated Ensemble-Directed Offline Reinforcement Learning Desik Rengarajan N. Ragothaman D. Kalathil S. Shakkottai OffRL 35 1 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 18 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 23 4 0 03 May 2023
A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation Steffen Gracla C. Bockelmann Armin Dekorsy 28 3 0 25 Apr 2023
Approximate Shielding of Atari Agents for Safe Exploration Alexander W. Goodall Francesco Belardinelli 27 2 0 21 Apr 2023