Information Theoretically Aided Reinforcement Learning for Embodied Agents

31 May 2016

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 82 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