Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms.
Vaneet AggarwalWashim Uddin MondalQinbo BaiPublished in: CoRR (2024)
Keyphrases
- model free
- reinforcement learning
- average reward
- policy iteration
- function approximation
- reinforcement learning algorithms
- temporal difference
- rl algorithms
- policy evaluation
- reinforcement learning methods
- optimality criterion
- discounted reward
- hierarchical reinforcement learning
- markov decision processes
- optimal policy
- state space
- policy gradient
- machine learning
- neural network
- multi agent
- actor critic