Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract).
Hansin AhujaLynnette Hui Xian NgKokil JaidkaPublished in: AAAI (2022)
Keyphrases
- reinforcement learning
- learning agents
- human players
- function approximation
- learning process
- student learning
- mixed strategy
- learning styles
- graph representation
- game theory
- state space
- structured data
- random walk
- intelligent tutoring systems
- graph theory
- graph structure
- game theoretic
- graphical representation
- reinforcement learning algorithms
- learning environment
- directed graph
- machine learning
- graph mining
- game design
- markov decision processes
- undergraduate students
- solution concepts
- multi agent
- multiagent learning