A Case Study in Hybrid Multi-threading and Hierarchical Reinforcement Learning Approach for Cooperative Multi-agent Systems.
Hiram PonceRicardo PadillaAlan DavalosAlvaro HerrastiCynthia PichardoDaniel DovaliPublished in: MICAI (Special Sessions) (2015)
Keyphrases
- hierarchical reinforcement learning
- multithreading
- reinforcement learning
- cooperative multi agent systems
- computational power
- state abstraction
- multi agent reinforcement learning
- highly efficient
- parallel computing
- model free
- memory efficient
- reward function
- multi agent
- reinforcement learning algorithms
- dynamic environments
- random walk
- dynamic programming
- multi agent systems