An Information-Theoretic Optimality Principle for Deep Reinforcement Learning

6 August 2017

Papers citing "An Information-Theoretic Optimality Principle for Deep Reinforcement Learning"

14 / 14 papers shown

Title
Inverse Decision Modeling: Learning Interpretable Representations of Behavior Daniel Jarrett Alihan Huyuk M. Schaar AI4CE 17 27 0 28 Oct 2023
Beyond Bayes-optimality: meta-learning what you know you don't know Jordi Grau-Moya Grégoire Delétang M. Kunesch Tim Genewein Elliot Catt ... Jane X. Wang Marcus Hutter Christopher Summerfield Shane Legg Pedro A. Ortega 13 0 0 30 Sep 2022
Variational Inference for Model-Free and Model-Based Reinforcement Learning Felix Leibfried OffRL 13 0 0 04 Sep 2022
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
Hierarchical Expert Networks for Meta-Learning Heinke Hihn Daniel A. Braun 15 4 0 31 Oct 2019
$α^α$ -Rank: Practically Scaling $α$ -Rank through Stochastic Optimisation Yaodong Yang Rasul Tutunov Phu Sakulwongtana Haitham Bou-Ammar 20 21 0 25 Sep 2019
Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning Felix Leibfried Jordi Grau-Moya 11 21 0 11 Sep 2019
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment Felix Leibfried Sergio Pascual-Diaz Jordi Grau-Moya 13 27 0 26 Jul 2019
An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems Heinke Hihn Sebastian Gottwald Daniel A. Braun 12 16 0 26 Jul 2019
Disentangled Skill Embeddings for Reinforcement Learning Janith C. Petangoda Sergio Pascual-Diaz Vincent Adam Peter Vrancx Jordi Grau-Moya DRL OffRL 11 15 0 21 Jun 2019
Bounded rational decision-making from elementary computations that reduce uncertainty Sebastian Gottwald Daniel A. Braun 20 33 0 08 Apr 2019
Bounded Rational Decision-Making with Adaptive Neural Network Priors Heinke Hihn Sebastian Gottwald Daniel A. Braun 16 10 0 04 Sep 2018
Multi-Task Generative Adversarial Nets with Shared Memory for Cross-Domain Coordination Control Junping Wang Wensheng Zhang Ian Thomas Shihui Duan Y. Shi 14 0 0 01 Jul 2018
Balancing Two-Player Stochastic Games with Soft Q-Learning Jordi Grau-Moya Felix Leibfried Haitham Bou-Ammar 18 42 0 09 Feb 2018