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1708.01867
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An Information-Theoretic Optimality Principle for Deep Reinforcement Learning
6 August 2017
Felix Leibfried
Jordi Grau-Moya
Haitham Bou-Ammar
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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
α^α
α
α
-Rank: Practically Scaling
α
α
α
-Rank through Stochastic Optimisation
Yaodong Yang
Rasul Tutunov
Phu Sakulwongtana
Haitham Bou-Ammar
24
21
0
25 Sep 2019
Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning
Felix Leibfried
Jordi Grau-Moya
13
21
0
11 Sep 2019
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
Felix Leibfried
Sergio Pascual-Diaz
Jordi Grau-Moya
15
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
16
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
15
15
0
21 Jun 2019
Bounded rational decision-making from elementary computations that reduce uncertainty
Sebastian Gottwald
Daniel A. Braun
24
33
0
08 Apr 2019
Bounded Rational Decision-Making with Adaptive Neural Network Priors
Heinke Hihn
Sebastian Gottwald
Daniel A. Braun
18
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
16
0
0
01 Jul 2018
Balancing Two-Player Stochastic Games with Soft Q-Learning
Jordi Grau-Moya
Felix Leibfried
Haitham Bou-Ammar
22
42
0
09 Feb 2018
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