Provably Efficient Model-free RL in Leader-Follower MDP with Linear Function Approximation.
Arnob GhoshPublished in: L4DC (2023)
Keyphrases
- function approximation
- model free
- reinforcement learning
- policy iteration
- reinforcement learning algorithms
- temporal difference
- function approximators
- temporal difference learning
- policy evaluation
- radial basis function
- markov decision processes
- average reward
- learning tasks
- state space
- rl algorithms
- leader follower
- multi agent
- markov decision process
- reinforcement learning methods
- mobile robot
- policy gradient
- neural network
- finite state