Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents.
Hugo LaurençonCharbel-Raphaël SégerieJohann LussangeBoris S. GutkinPublished in: CoRR (2021)
Keyphrases
- autonomous agents
- reinforcement learning
- multi agent environments
- multi agent
- learning agents
- multi agent systems
- learning strategies
- dynamic environments
- multiagent systems
- action space
- state space
- open systems
- resource bounded
- incomplete information
- bdi agents
- computational systems
- changing environment
- control architecture
- complex environments
- learning processes
- heterogeneous agents
- intelligent behavior
- learning algorithm
- reinforcement learning algorithms
- function approximation
- learning process
- learning capabilities
- distributed artificial intelligence
- model free
- agent behavior
- mental states
- coalition formation
- rational agents
- temporal difference
- agent negotiation
- machine learning