Reinforcement Learning for POMDP Environments Using State Representation with Reservoir Computing.
Kodai YamashitaTomoki HamagamiPublished in: J. Adv. Comput. Intell. Intell. Informatics (2022)
Keyphrases
- reinforcement learning
- state space
- hidden state
- partially observable
- reservoir computing
- reinforcement learning algorithms
- markov decision process
- dynamic programming
- function approximation
- optimal policy
- markov decision processes
- state abstraction
- dynamical systems
- multi agent
- agent learns
- transition model
- continuous state
- markov models
- partial observability
- state action
- neural network
- dynamic environments
- genetic algorithm