Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning.
Sanket ShahArunesh SinhaPradeep VarakanthamAndrew PerraultMilind TambePublished in: CoRR (2019)
Keyphrases
- action space
- reinforcement learning
- state space
- markov decision processes
- state and action spaces
- markov decision problems
- continuous state
- real valued
- control policies
- reinforcement learning methods
- continuous state spaces
- state action
- function approximators
- markov decision process
- machine learning
- stochastic processes
- function approximation
- reinforcement learning algorithms
- control problems
- stochastic games
- policy iteration
- markov chain
- single agent
- dynamic programming
- optimal policy
- multi agent
- game theory
- heuristic search
- policy search