Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning.
Sanket ShahArunesh SinhaPradeep VarakanthamAndrew PerraultMilind TambePublished in: AAAI (2020)
Keyphrases
- action space
- reinforcement learning
- state space
- state and action spaces
- markov decision processes
- markov decision problems
- real valued
- continuous state
- reinforcement learning methods
- stochastic processes
- control policies
- continuous state spaces
- function approximators
- action selection
- single agent
- state action
- learning algorithm
- game playing
- control problems
- function approximation
- heuristic search
- parameter estimation
- dynamic programming
- machine learning
- partially observable
- reinforcement learning algorithms
- nash equilibria
- policy iteration
- random fields
- stochastic games
- game theory
- search space
- policy search