Towards Principled, Practical Policy Gradient for Bandits and Tabular MDPs.
Michael LuMatin AghaeiAnant RajSharan VaswaniPublished in: CoRR (2024)
Keyphrases
- policy gradient
- reinforcement learning
- markov decision processes
- policy search
- average reward
- reinforcement learning algorithms
- function approximation
- state space
- actor critic
- partially observable markov decision processes
- model free reinforcement learning
- machine learning
- multi agent
- optimal policy
- gradient method
- markov decision problems