Deep Multi-Agent Reinforcement Learning with Hybrid Action Spaces based on Maximum Entropy

10 June 2022

Papers citing "Deep Multi-Agent Reinforcement Learning with Hybrid Action Spaces based on Maximum Entropy"

10 / 10 papers shown

Title
Discrete and Continuous Action Representation for Practical RL in Video Games Olivier Delalleau Maxim Peter Eloi Alonso Adrien Logut 60 53 0 23 Dec 2019
Soft Actor-Critic for Discrete Action Settings Petros Christodoulou OffRL 150 300 0 16 Oct 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 145 2,450 0 13 Dec 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 162 1,676 0 30 Mar 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,420 0 04 Jan 2018
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 133 2,827 0 19 Aug 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 162 4,509 0 07 Jun 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 246 1,544 0 25 Jan 2017
Multiagent Cooperation and Competition with Deep Reinforcement Learning Ardi Tampuu Tambet Matiisen Dorian Kodelja Ilya Kuzovkin Kristjan Korjus Juhan Aru Jaan Aru Raul Vicente 98 868 0 27 Nov 2015
Deep Reinforcement Learning in Parameterized Action Space Matthew J. Hausknecht Peter Stone 70 308 0 13 Nov 2015