Monte Carlo and Temporal Difference Methods in Reinforcement Learning [AI-eXplained].
Isaac HanSeungwon OhHoyoun JungInsik ChungKyung-Joong KimPublished in: IEEE Comput. Intell. Mag. (2023)
Keyphrases
- monte carlo
- temporal difference methods
- temporal difference
- policy evaluation
- td learning
- reinforcement learning
- reinforcement learning algorithms
- function approximation
- temporal difference learning
- function approximators
- policy search
- markov chain
- importance sampling
- monte carlo methods
- policy iteration
- variance reduction
- machine learning
- monte carlo tree search
- optimal strategy
- model free