Dynamics of Temporal Difference Reinforcement Learning.
Blake BordelonPaul MassetHenry KuoCengiz PehlevanPublished in: CoRR (2023)
Keyphrases
- temporal difference
- reinforcement learning
- function approximation
- td learning
- model free
- reinforcement learning algorithms
- evaluation function
- temporal difference learning
- policy evaluation
- monte carlo
- action selection
- step size
- temporal difference methods
- actor critic
- dynamical systems
- state space
- function approximators
- policy iteration
- markov decision processes
- optimal policy
- action space
- multi agent
- transfer learning
- partially observable
- dynamic programming
- approximate dynamic programming
- decision trees
- reinforcement learning problems
- machine learning
- data mining