Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning

11 September 2019

Papers citing "Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning"

7 / 7 papers shown

Title
Hierarchically Structured Task-Agnostic Continual Learning Heinke Hihn Daniel A. Braun BDL CLL 31 8 0 14 Nov 2022
Variational Inference for Model-Free and Model-Based Reinforcement Learning Felix Leibfried OffRL 23 0 0 04 Sep 2022
A space of goals: the cognitive geometry of informationally bounded agents Karen Archer Nicola Catenacci Volpi F. Bröker Daniel Polani 19 5 0 05 Nov 2021
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow John Mcleod Hrvoje Stojić Vincent Adam Dongho Kim Jordi Grau-Moya Peter Vrancx Felix Leibfried OffRL 21 2 0 26 Mar 2021
A Tutorial on Sparse Gaussian Processes and Variational Inference Felix Leibfried Vincent Dutordoir S. T. John N. Durrande GP 42 49 0 27 Dec 2020
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment Felix Leibfried Sergio Pascual-Diaz Jordi Grau-Moya 25 27 0 26 Jul 2019
Off-Policy Actor-Critic T. Degris Martha White R. Sutton OffRL CML 163 220 0 22 May 2012