Composing Synergistic Macro Actions for Reinforcement Learning Agents.
Yu-Ming ChenKuan-Yu ChangChien LiuTsu-Ching HsiaoZhang-Wei HongChun-Yi LeePublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- reinforcement learning agents
- macro actions
- reinforcement learning
- state abstraction
- markov decision processes
- state space
- dynamic environments
- multi agent
- reinforcement learning algorithms
- function approximation
- multi agent environments
- markov decision problems
- predictive model
- optimal policy
- model free
- learning algorithm
- temporal difference
- heuristic search
- dynamic programming
- learning process
- partially observable
- linear programming
- artificial neural networks
- search algorithm