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1605.09735
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Information Theoretically Aided Reinforcement Learning for Embodied Agents
31 May 2016
Guido Montúfar
K. Zahedi
Nihat Ay
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Papers citing
"Information Theoretically Aided Reinforcement Learning for Embodied Agents"
6 / 6 papers shown
Title
Adaptive Reward-Free Exploration
E. Kaufmann
Pierre Ménard
O. D. Domingues
Anders Jonsson
Edouard Leurent
Michal Valko
77
82
0
11 Jun 2020
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
Felix Leibfried
Sergio Pascual-Diaz
Jordi Grau-Moya
110
29
0
26 Jul 2019
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards
Yuhang Song
Jianyi Wang
Thomas Lukasiewicz
Zhenghua Xu
Shangtong Zhang
Andrzej Wojcicki
Mai Xu
LRM
87
15
0
12 May 2019
A unified strategy for implementing curiosity and empowerment driven reinforcement learning
Ildefons Magrans de Abril
Ryota Kanai
76
20
0
18 Jun 2018
Curiosity-driven reinforcement learning with homeostatic regulation
Ildefons Magrans de Abril
Ryota Kanai
79
28
0
23 Jan 2018
VIME: Variational Information Maximizing Exploration
Rein Houthooft
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
117
78
0
31 May 2016
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