Information-Theoretic Abstractions for Planning in Agents With Computational Constraints.
Daniel T. LarssonDipankar MaityPanagiotis TsiotrasPublished in: IEEE Robotics Autom. Lett. (2021)
Keyphrases
- information theoretic
- information theory
- mutual information
- multi agent systems
- theoretic framework
- multi agent
- distributed constraint optimization problems
- decision theoretic
- jensen shannon divergence
- log likelihood
- min cut
- information theoretic measures
- entropy measure
- relative entropy
- multi modality
- kl divergence
- planning problems
- information bottleneck
- kullback leibler divergence
- minimum description length
- computational learning theory
- bregman divergences
- closed form
- heuristic search
- image processing
- admissible heuristics
- feature selection
- closed form solutions
- reinforcement learning