PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games.
Martin BallaGeorge E. M. LongDominik JeurissenJames GoodmanRaluca D. GainaDiego Perez LiebanaPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- game players
- action sets
- game theory
- reinforcement learning agents
- learning agents
- video games
- function approximation
- lessons learned
- computer games
- tangible user interface
- real world
- collaborative activities
- game theoretic
- nash equilibrium
- key issues
- state space
- dynamic programming
- cooperative
- machine learning
- transfer learning
- virtual reality
- computer programs
- model free
- action selection
- reinforcement learning algorithms
- nash equilibria
- emerging technologies
- coalitional games
- learning process
- multi agent