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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Adversarially Trained Actor Critic for Offline Reinforcement Learning Ching-An Cheng Tengyang Xie Nan Jiang Alekh Agarwal OffRL 18 127 0 05 Feb 2022
A Temporal-Difference Approach to Policy Gradient Estimation Samuele Tosatto Andrew Patterson Martha White A. R. Mahmood OffRL 27 2 0 04 Feb 2022
Learning Interpretable, High-Performing Policies for Autonomous Driving Rohan R. Paleja Yaru Niu Andrew Silva Chace Ritchie Sugju Choi Matthew C. Gombolay 32 16 0 04 Feb 2022
Federated Reinforcement Learning for Collective Navigation of Robotic Swarms Seongin Na Tomáš Rouček Jiří Ulrich Jan Pikman T. Krajník Barry Lennox F. Arvin 34 34 0 02 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 78 43 0 01 Feb 2022
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes Chao Qu Jue Chen Siqiao Xue Xiaoming Shi James Y. Zhang Hongyuan Mei OffRL 30 17 0 29 Jan 2022
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error Scott Fujimoto David Meger Doina Precup Ofir Nachum S. Gu 30 32 0 28 Jan 2022
Can Wikipedia Help Offline Reinforcement Learning? Machel Reid Yutaro Yamada S. Gu 3DV RALM OffRL 140 95 0 28 Jan 2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning Haichao Zhang Wei Xu Haonan Yu 38 10 0 24 Jan 2022
Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective Ryan K. Tan Yang Liu Lei Xie 49 2 0 21 Jan 2022
A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement Learning Yuan Tian Minghao Han Chetan S. Kulkarni Olga Fink 25 13 0 20 Jan 2022
Reinforcement Learning based Air Combat Maneuver Generation Muhammed Murat Özbek E. Koyuncu 11 4 0 14 Jan 2022
Offline Reinforcement Learning for Road Traffic Control Mayuresh Kunjir Sanjay Chawla OffRL 32 4 0 07 Jan 2022
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning Yuxing Wang Tiantian Zhang Yongzhe Chang Bin Liang Xueqian Wang Bo Yuan 29 15 0 01 Jan 2022
Double Critic Deep Reinforcement Learning for Mapless 3D Navigation of Unmanned Aerial Vehicles Ricardo B. Grando J. C. Jesus V. A. Kich A. H. Kolling P. Drews 33 34 0 27 Dec 2021
Newsvendor Model with Deep Reinforcement Learning Dylan K. Goetting 14 0 0 22 Dec 2021
Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients Jiafei Lyu Yu Yang Jiangpeng Yan Xiu Li OffRL AI4CE 39 5 0 21 Dec 2021
Variational Quantum Soft Actor-Critic Qingfeng Lan 27 20 0 20 Dec 2021
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic Zhihai Wang Jie Wang Qi Zhou Bin Li Houqiang Li 27 30 0 16 Dec 2021
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Trevor Ablett Bryan Chan Jonathan Kelly 37 4 0 16 Dec 2021
Flexible Option Learning Martin Klissarov Doina Precup OffRL 41 26 0 06 Dec 2021
Coupling Vision and Proprioception for Navigation of Legged Robots Zipeng Fu Ashish Kumar Ananye Agarwal Haozhi Qi Jitendra Malik Deepak Pathak 21 73 0 03 Dec 2021
Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction Yulin Zhang William Macke Jiaxun Cui Daniel Urieli Peter Stone 31 8 0 03 Dec 2021
SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning Jun Lv Qiaojun Yu Lin Shao Wenhai Liu Wenqiang Xu Cewu Lu 33 24 0 29 Nov 2021
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models Iman Nematollahi Erick Rosete-Beas Adrian Rofer Tim Welschehold Abhinav Valada Wolfram Burgard 19 15 0 25 Nov 2021
Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning Daniel J. B. Harrold Jun Cao Zhongbo Fan 39 61 0 21 Nov 2021
Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance Yanqiu Wu Xinyue Chen Che Wang Yiming Zhang Keith Ross OffRL 17 9 0 17 Nov 2021
CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms Shengyi Huang Rousslan Fernand Julien Dossa Chang Ye Jeff Braga OffRL 16 0 0 16 Nov 2021
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving Raphael Chekroun Marin Toromanoff Sascha Hornauer Fabien Moutarde 39 60 0 16 Nov 2021
Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning Nathan P. Lawrence M. Forbes Philip D. Loewen Daniel G. McClement Johan U. Backstrom R. Bhushan Gopaluni OffRL 30 71 0 13 Nov 2021
Cooperative multi-agent reinforcement learning for high-dimensional nonequilibrium control Shriram Chennakesavalu Grant M. Rotskoff 16 1 0 12 Nov 2021
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning Jinning Li Chen Tang Masayoshi Tomizuka Wei Zhan OffRL 21 21 0 09 Nov 2021
d3rlpy: An Offline Deep Reinforcement Learning Library Takuma Seno M. Imai OffRL GP 65 100 0 06 Nov 2021
RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning Sabela Ramos Sertan Girgin Léonard Hussenot Damien Vincent Hanna Yakubovich ... Piotr Stańczyk Raphaël Marinier Jeremiah Harmsen Olivier Pietquin Nikola Momchev OffRL 38 24 0 04 Nov 2021
Confidence Composition for Monitors of Verification Assumptions I. Ruchkin Matthew Cleaveland Radoslav Ivanov Pengyuan Lu Taylor J. Carpenter O. Sokolsky Insup Lee 49 13 0 03 Nov 2021
Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets Thommen George Karimpanal Hung Le Majid Abdolshah Santu Rana Sunil R. Gupta T. Tran Svetha Venkatesh 25 5 0 03 Nov 2021
Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay Dogan C. Cicek Enes Duran Baturay Saglam Furkan B. Mutlu Suleyman Serdar Kozat OffRL 33 11 0 02 Nov 2021
Generalized Proximal Policy Optimization with Sample Reuse James Queeney I. Paschalidis Christos G. Cassandras OffRL 42 47 0 29 Oct 2021
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment Tung M. Luu Chang D. Yoo 23 8 0 28 Oct 2021
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching Pierre-Alexandre Kamienny Jean Tarbouriech Sylvain Lamprier A. Lazaric Ludovic Denoyer SSL 45 18 0 27 Oct 2021
A Subgame Perfect Equilibrium Reinforcement Learning Approach to Time-inconsistent Problems Nixie S. Lesmana Chi Seng Pun OffRL 29 4 0 27 Oct 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs Beining Han Chongyi Zheng Harris Chan Keiran Paster Michael Ruogu Zhang Jimmy Ba OOD AI4CE 20 13 0 27 Oct 2021
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Junsup Kim Younggyo Seo Jinwoo Shin 22 58 0 26 Oct 2021
Automating Control of Overestimation Bias for Reinforcement Learning Arsenii Kuznetsov Alexander Grishin Artem Tsypin Arsenii Ashukha Artur Kadurin Dmitry Vetrov OffRL 8 2 0 26 Oct 2021
Learning Insertion Primitives with Discrete-Continuous Hybrid Action Space for Robotic Assembly Tasks Yongyu Wang Shiyu Jin Changhao Wang Xinghao Zhu Masayoshi Tomizuka 34 42 0 25 Oct 2021
False Correlation Reduction for Offline Reinforcement Learning Arvindkumar Krishnakumar Zuyue Fu Lingxiao Wang Zhuoran Yang Chenjia Bai Tianyi Zhou Judy Hoffman Jing Jiang OffRL 39 9 0 24 Oct 2021
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information Jin Li Xianyuan Zhan Zixu Xiao Guyue Zhou OffRL OnRL 29 2 0 21 Oct 2021
Continuous Control with Action Quantization from Demonstrations Robert Dadashi Léonard Hussenot Damien Vincent Sertan Girgin Anton Raichuk M. Geist Olivier Pietquin OffRL 33 23 0 19 Oct 2021
Offline Reinforcement Learning with Soft Behavior Regularization Haoran Xu Xianyuan Zhan Jianxiong Li Honglei Yin OffRL 31 31 0 14 Oct 2021
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 852 0 12 Oct 2021