Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
Maithra RaghuAlex IrpanJacob AndreasRobert KleinbergQuoc V. LeJon M. KleinbergPublished in: ICML (2018)
Keyphrases
- reinforcement learning
- function approximation
- action sets
- learning agents
- reinforcement learning algorithms
- game theoretic
- game theory
- computer games
- optimal control
- markov decision processes
- optimal policy
- machine learning
- neural network
- action selection
- learning process
- coalitional games
- reinforcement learning agents