Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract).
Hansin AhujaLynnette Hui Xian NgKokil JaidkaPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- learning agents
- learning process
- function approximation
- knowledge level
- graph representation
- student learning
- human players
- graph mining
- markov decision processes
- learning styles
- learning environment
- multi agent
- two player games
- computer games
- nash equilibrium
- weighted graph
- mixed strategy
- game theoretic
- random walk
- educational games
- repeated games
- test beds
- reinforcement learning algorithms
- graphical representation
- temporal difference
- model free
- machine learning
- intelligent tutoring systems
- learning algorithm