Perceiving the World: Question-guided Reinforcement Learning for Text-based Games.
Yunqiu XuMeng FangLing ChenYali DuJoey Tianyi ZhouChengqi ZhangPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- action sets
- learning agents
- function approximation
- model free
- state space
- multiagent learning
- video games
- game theory
- learning algorithm
- educational games
- reinforcement learning agents
- multimedia
- temporal difference
- reinforcement learning algorithms
- policy search
- game design
- game playing
- nash equilibrium
- computer games
- supervised learning
- action selection
- markov decision processes
- monte carlo
- temporal difference learning
- coalitional games
- multi agent reinforcement learning
- monte carlo tree search
- learning process
- multi agent systems
- agent learns
- multi agent
- pure nash equilibria