Adversarial Policy Optimization in Deep Reinforcement Learning.
Md. Masudur RahmanYexiang XuePublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- optimal policy
- markov decision process
- policy search
- action selection
- multi agent
- actor critic
- function approximators
- optimization algorithm
- reinforcement learning algorithms
- global optimization
- state and action spaces
- reward function
- combinatorial optimization
- optimization problems
- learning algorithm
- markov decision processes
- policy iteration
- state space
- temporal difference
- optimization method
- action space
- policy making
- dynamic programming
- neural network