Hierarchical, Discontinuous Agent Reinforcement Learning Rewards in Complex Military-Oriented Environments.
Charles NewtonChristopher BallingerMichael SlomaKeith BrawnerPublished in: FLAIRS (2022)
Keyphrases
- reinforcement learning
- multi agent
- multi agent environments
- reward function
- markov decision processes
- multi agent systems
- reward shaping
- action selection
- real world
- state space
- decision making
- learning capabilities
- partially observable
- dynamic environments
- complex systems
- highly dynamic
- intelligent agents
- learning agent
- state abstraction
- function approximation
- reinforcement learning algorithms
- complex environments
- state action
- action space
- hierarchical reinforcement learning
- agent model
- machine learning
- learning process
- agent learns
- exploration strategy
- open environments
- cooperative
- learning agents
- optimal policy
- mobile agents
- single agent
- multiple agents
- temporal difference
- multiagent systems
- autonomous agents
- agent architecture
- high level
- learning algorithm
- learning classifier systems