Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning.
Lakshmi Narasimhan GovindarajanRex G. LiuDrew LinsleyAlekh Karkada AshokMax ReuterMichael J. FrankThomas SerrePublished in: CoRR (2023)
Keyphrases
- computational demands
- reinforcement learning
- action sets
- learning agents
- video sequences
- function approximation
- reinforcement learning agents
- nash equilibria
- game theory
- video frames
- educational games
- video surveillance
- learning process
- state space
- video database
- model free
- learning algorithm
- multi agent
- stochastic games
- video data
- video clips
- video games
- optimal control
- game play
- key frames
- game playing
- monte carlo tree search
- coalitional games
- transfer learning
- event recognition
- video content
- human activities
- policy search
- temporal difference learning
- dynamic programming
- reinforcement learning algorithms
- temporal difference
- action selection
- markov decision processes
- game theoretic
- model based diagnosis
- machine learning