Reinforcement Learning for High-Level Strategic Control in Tower Defense Games.
Joakim BergdahlAlessandro SestiniLinus GisslénPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- high level
- control problems
- optimal control
- low level
- control strategies
- robot control
- nash equilibrium
- game theory
- optimal policy
- function approximation
- control policy
- information warfare
- action sets
- intrusion detection
- decision making
- adaptive control
- case study
- markov decision process
- control system
- robotic systems
- dynamic programming
- state space
- learning agents
- higher level
- nash equilibria
- action space
- computer games
- multi agent decision making
- game theoretic
- control method
- machine learning
- decision problems
- monte carlo
- semantic information
- multi agent systems
- multi agent
- learning algorithm