Dynamic Agent Allocation with Reinforcement Learning for Applying Behavior Trees in Games.

Xianglong Li Yuan Li Xinhai Xu Donghong Liu Jieyuan Zhang

Published in: CogSci (2023)

Keyphrases

reinforcement learning
multi agent
dynamic environments
reinforcement learning agents
multi agent environments
learning agents
autonomous agents
multi agent systems
action selection
partially observable

software agents
game theory
decision trees
agent model
intelligent agents
agent behavior
multiagent learning
general game playing
single agent

multiagent systems
virtual agents
markov decision process
learning capabilities
state space
function approximation
markov decision processes
resource allocation
state abstraction

agent receives
cognitive agents
state action
social welfare
nash equilibria
multiple agents
game theoretic
nash equilibrium
computer games