Evolving the Behavior of Autonomous Agents in Strategic Combat Scenarios via SARSA Reinforcement Learning.
Clauirton de Albuquerque SiebraGutenberg Pessoa Botelho NetoPublished in: SBGames (2014)
Keyphrases
- autonomous agents
- reinforcement learning
- multi agent environments
- multi agent
- agent behavior
- function approximation
- reinforcement learning algorithms
- dynamic environments
- multiagent systems
- intelligent behavior
- temporal difference
- multi agent systems
- state space
- temporal difference learning
- learning algorithm
- control architecture
- incomplete information
- win win
- open systems
- distributed artificial intelligence
- action selection
- decision making
- model free
- complex environments
- learning agents
- heterogeneous agents
- resource bounded
- markov decision processes
- changing environment
- single agent
- reinforcement learning methods
- dynamic programming
- mental states
- bdi agents
- function approximators
- learning problems
- software agents
- coalition formation
- agent negotiation
- virtual humans