A Comparative Analysis of Expected and Distributional Reinforcement Learning.
Clare LylePablo Samuel CastroMarc G. BellemarePublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- function approximation
- co occurrence
- optimal policy
- dynamic programming
- relational reinforcement learning
- model free
- state space
- information retrieval
- machine learning
- decision trees
- learning process
- database
- knowledge base
- decision making
- computer vision
- markov decision processes
- learning algorithm
- learning classifier systems
- temporal difference learning