Dynamic Agent Allocation with Reinforcement Learning for Applying Behavior Trees in Games.
Xianglong LiYuan LiXinhai XuDonghong LiuJieyuan ZhangPublished 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