Q( $λ$ ) with Off-Policy Corrections

16 February 2016

Papers citing "Q($λ$) with Off-Policy Corrections"

24 / 24 papers shown

Title
Off-policy Distributional Q( $λ$ ): Distributional RL without Importance Sampling Yunhao Tang Mark Rowland Rémi Munos Bernardo Avila-Pires Will Dabney OffRL 15 1 0 08 Feb 2024
Conservative Exploration for Policy Optimization via Off-Policy Policy Evaluation Paul Daoudi Mathias Formoso Othman Gaizi Achraf Azize Evrard Garcelon OffRL 31 0 0 24 Dec 2023
Human-AI Collaboration in Real-World Complex Environment with Reinforcement Learning Md Saiful Islam Srijita Das S. Gottipati William Duguay Clodéric Mars Jalal Arabneydi Antoine Fagette Matthew J. Guzdial Matthew E. Taylor 41 1 0 23 Dec 2023
Sequential Counterfactual Risk Minimization Houssam Zenati Eustache Diemert Matthieu Martin Julien Mairal Pierre Gaillard OffRL 29 3 0 23 Feb 2023
Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning Brett Daley Martha White Chris Amato Marlos C. Machado OffRL 25 3 0 26 Jan 2023
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments Yash Chandak Shiv Shankar Nathaniel D. Bastian Bruno Castro da Silva Emma Brunskil Philip S. Thomas OffRL 52 6 0 24 Jan 2023
Knowing the Past to Predict the Future: Reinforcement Virtual Learning Peng Zhang Yawen Huang Bingzhang Hu Shizheng Wang Haoran Duan Noura Al Moubayed Yefeng Zheng Yang Long OffRL 27 0 0 02 Nov 2022
Improving the Efficiency of Off-Policy Reinforcement Learning by Accounting for Past Decisions Brett Daley Chris Amato OffRL 23 1 0 23 Dec 2021
Flexible Option Learning Martin Klissarov Doina Precup OffRL 41 26 0 06 Dec 2021
Supervised Off-Policy Ranking Yue Jin Yue Zhang Tao Qin Xudong Zhang Jian Yuan Houqiang Li Tie-Yan Liu OffRL 32 5 0 03 Jul 2021
A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants Zaiwei Chen S. T. Maguluri Sanjay Shakkottai Karthikeyan Shanmugam OffRL 105 54 0 02 Feb 2021
Revisiting Fundamentals of Experience Replay W. Fedus Prajit Ramachandran Rishabh Agarwal Yoshua Bengio Hugo Larochelle Mark Rowland Will Dabney KELM OffRL 30 235 0 13 Jul 2020
Self-Imitation Learning via Generalized Lower Bound Q-learning Yunhao Tang SSL 33 24 0 12 Jun 2020
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning Cameron Voloshin Hoang Minh Le Nan Jiang Yisong Yue OffRL 30 152 0 15 Nov 2019
Gradient Q $(σ, λ)$ : A Unified Algorithm with Function Approximation for Reinforcement Learning Long Yang Yu Zhang Qian Zheng Pengfei Li Gang Pan 20 1 0 06 Sep 2019
When to use parametric models in reinforcement learning? H. V. Hasselt Matteo Hessel John Aslanides 37 189 0 12 Jun 2019
Per-decision Multi-step Temporal Difference Learning with Control Variates Kristopher De Asis R. Sutton 22 7 0 05 Jul 2018
Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network Wenjia Meng Qian Zheng L. Yang Pengfei Li Gang Pan 20 21 0 14 Jun 2018
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update Su Young Lee Sung-Ik Choi Sae-Young Chung BDL 21 73 0 31 May 2018
Meta-Gradient Reinforcement Learning Zhongwen Xu H. V. Hasselt David Silver 53 324 0 24 May 2018
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning Long Yang Minhao Shi Qian Zheng Wenjia Meng Gang Pan 23 23 0 09 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 57 1,578 0 05 Feb 2018
Multi-step Off-policy Learning Without Importance Sampling Ratios A. R. Mahmood Huizhen Yu R. Sutton OffRL 24 54 0 09 Feb 2017
Safe and Efficient Off-Policy Reinforcement Learning Rémi Munos T. Stepleton Anna Harutyunyan Marc G. Bellemare OffRL 71 609 0 08 Jun 2016

Q(λλλ) with Off-Policy Corrections

Papers citing "Q($λ$) with Off-Policy Corrections"

Q( $λ$ ) with Off-Policy Corrections