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MULEX: Disentangling Exploitation from Exploration in Deep RL

MULEX: Disentangling Exploitation from Exploration in Deep RL

1 July 2019
Lucas Beyer
Damien Vincent
O. Teboul
Sylvain Gelly
M. Geist
Olivier Pietquin
ArXivPDFHTML

Papers citing "MULEX: Disentangling Exploitation from Exploration in Deep RL"

4 / 4 papers shown
Title
Discovering and Achieving Goals via World Models
Discovering and Achieving Goals via World Models
Russell Mendonca
Oleh Rybkin
Kostas Daniilidis
Danijar Hafner
Deepak Pathak
32
119
0
18 Oct 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to
  Multiagent Domain
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Tianpei Yang
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
41
94
0
14 Sep 2021
Scaling MAP-Elites to Deep Neuroevolution
Scaling MAP-Elites to Deep Neuroevolution
Cédric Colas
Joost Huizinga
Vashisht Madhavan
Jeff Clune
33
86
0
03 Mar 2020
Off-Policy Deep Reinforcement Learning with Analogous Disentangled
  Exploration
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration
Hoang Trung-Dung
Yitao Liang
Guy Van den Broeck
OffRL
22
3
0
25 Feb 2020
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