Deep reinforcement learning with combinatorial actions spaces: An application to prescriptive maintenance.
Niklas GobyTobias BrandtDirk NeumannPublished in: Comput. Ind. Eng. (2023)
Keyphrases
- multi agent
- reinforcement learning
- multiagent reinforcement learning
- multiple agents
- perceptual aliasing
- action selection
- action space
- multi agent reinforcement learning
- autonomous agents
- partially observable
- state action
- machine learning
- reward function
- learning algorithm
- partial observability
- learning agent
- partially observable domains
- model free
- software maintenance
- goal directed
- markov decision processes
- state space
- continuous state
- learned knowledge
- optimal policy
- legal reasoning
- deep learning
- human actions
- function approximation
- reinforcement learning algorithms
- reinforcement learning methods
- sensory inputs
- supervised learning
- situation calculus
- case based reasoning
- temporal difference
- state and action spaces
- dynamic programming
- plan recognition