Distributed Reinforcement Learning for Networked Dynamical Systems.
Tomonori SadamotoAyafumi KikuyaAranya ChakraborttyPublished in: IEEE Trans. Control. Netw. Syst. (2024)
Keyphrases
- dynamical systems
- reinforcement learning
- state space
- reinforcement learning methods
- partially observable
- multi agent
- nonlinear dynamical systems
- dynamic systems
- hidden state
- differential equations
- linear systems
- control theory
- qualitative simulation
- phase space
- dynamic programming
- markov decision processes
- optimal policy
- agent environment
- qualitative differential equations
- policy search methods
- nonlinear dynamics
- learning algorithm
- hidden markov models
- search algorithm
- dynamical behavior