Off-Policy Average Reward Actor-Critic with Deterministic Policy Search.

Naman Saxena Subhojyoti Khastigir Shishir Kolathaya Shalabh Bhatnagar

Published in: CoRR (2023)

Keyphrases

policy gradient
average reward
actor critic
markov decision processes
optimal policy
reinforcement learning
long run
partially observable markov decision processes

stochastic games
model free
reinforcement learning algorithms
function approximation
markov chain
state action
policy iteration
reward function

state space
approximation methods
gradient method
optimal control
multi agent
variance reduction
belief state
neural network

single agent
dynamical systems
dynamic programming
temporal difference
infinite horizon
decision problems
learning algorithm