Deep reinforcement learning-based SOH-aware battery management for DER aggregation.
Shotaro NonakaDaichi WatariIttetsu TaniguchiTakao OnoyePublished in: BuildSys@SenSys (2022)
Keyphrases
- reinforcement learning
- battery management
- mobile robot
- function approximation
- expert systems
- state space
- data aggregation
- model free
- machine learning
- multi agent
- dynamic programming
- learning algorithm
- data mining
- optimal policy
- robotic control
- supervised learning
- temporal difference
- real robot
- rank aggregation
- control problems
- direct policy search
- multi agent reinforcement learning
- autonomous learning
- learning agents
- aggregation operators
- knowledge base
- markov decision processes
- dynamical systems
- sensor networks
- learning process