The Benefits of Model-Based Generalization in Reinforcement Learning.
Kenny John YoungAditya RameshLouis KirschJürgen SchmidhuberPublished in: ICML (2023)
Keyphrases
- reinforcement learning
- model free
- reinforcement learning algorithms
- state space
- optimal policy
- machine learning
- temporal difference learning
- multi agent
- optimal control
- function approximation
- dynamic programming
- markov decision processes
- data driven
- fully unsupervised
- artificial intelligence
- data sets
- relational reinforcement learning
- cost savings
- markov decision process
- action selection
- learning process
- search algorithm
- information retrieval
- real world