Stochastic Q-learning for Large Discrete Action Spaces

Stochastic Q-learning for Large Discrete Action Spaces

16 May 2024

Vaneet Aggarwal

Mohamed-Slim Alouini

Papers citing "Stochastic Q-learning for Large Discrete Action Spaces"

18 / 18 papers shown

Title
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback Hang Wang Sen Lin Junshan Zhang 45 19 0 20 Jun 2023
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 67 23 0 22 Oct 2022
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies Tim Seyde Igor Gilitschenski Wilko Schwarting Bartolomeo Stellato Martin Riedmiller Markus Wulfmeier Daniela Rus 54 44 0 03 Nov 2021
Artificial Intelligence for Satellite Communication: A Review Fares Fourati Mohamed-Slim Alouini 65 110 0 25 Jan 2021
A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching using Deep Reinforcement Learning Marina Haliem G. Mani Vaneet Aggarwal Bharat K. Bhargava 64 63 0 05 Oct 2020
Reinforcement Learning for Combinatorial Optimization: A Survey Nina Mazyavkina S. Sviridov Sergei Ivanov Evgeny Burnaev 83 622 0 07 Mar 2020
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning Qingfeng Lan Yangchen Pan Alona Fyshe Martha White 63 179 0 16 Feb 2020
Q-Learning in enormous action spaces via amortized approximate maximization T. Wiele David Warde-Farley A. Mnih Volodymyr Mnih 55 60 0 22 Jan 2020
Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces Chen Tessler Tom Zahavy Deborah Cohen D. Mankowitz Shie Mannor 66 17 0 23 May 2019
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey Nguyen Cong Luong D. Hoang Shimin Gong Dusit Niyato Ping Wang Ying-Chang Liang Dong In Kim OffRL 83 1,436 0 18 Oct 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 493 19,019 0 20 Jul 2017
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 214 5,076 0 05 Jun 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 197 8,851 0 04 Feb 2016
Deep Reinforcement Learning in Large Discrete Action Spaces Gabriel Dulac-Arnold Richard Evans H. V. Hasselt P. Sunehag Timothy Lillicrap Jonathan J. Hunt Timothy A. Mann T. Weber T. Degris Ben Coppin OffRL 66 574 0 24 Dec 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 167 7,639 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 318 13,237 0 09 Sep 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 125 12,227 0 19 Dec 2013
Fast Reinforcement Learning with Large Action Sets using Error-Correcting Output Codes for MDP Factorization Gabriel Dulac-Arnold Ludovic Denoyer Philippe Preux Patrick Gallinari OffRL 108 24 0 29 Feb 2012

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