A Deep Reinforcement Learning Approach to Battery Management in Dairy Farming via Proximal Policy Optimization.
Nawazish AliRachael ShawKarl MasonPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- optimal policy
- action selection
- policy search
- markov decision process
- optimization method
- reinforcement learning problems
- optimization problems
- optimization algorithm
- optimization process
- machine learning
- actor critic
- partially observable
- function approximation
- optimization methods
- state space
- learning process
- global optimization
- optimal control
- temporal difference
- reward function
- neural network
- learning algorithm
- function approximators
- control policy
- partially observable domains
- partially observable environments
- transition model
- continuous state
- markov decision problems
- action space
- policy iteration
- dynamic programming
- partially observable markov decision processes
- reinforcement learning algorithms
- particle swarm optimization
- markov decision processes