Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies.
Thomy PhanKyrill SchmidLenz BelznerThomas GaborSebastian FeldClaudia Linnhoff-PopienPublished in: CoRR (2019)
Keyphrases
- policy iteration
- optimal policy
- policy iteration algorithm
- markov decision processes
- linear approximation
- markov decision process
- cooperative multi agent
- reinforcement learning
- model free
- finite state
- policy evaluation
- markov decision problems
- sample path
- approximate policy iteration
- fixed point
- discounted reward
- infinite horizon
- approximate value iteration
- multi agent
- temporal difference
- least squares
- average cost
- average reward
- hierarchical reinforcement learning
- dynamic programming
- optimal control
- state space
- cost function
- approximation methods
- long run
- function approximation
- convergence rate
- data mining