Structured Reinforcement Learning for Incentivized Stochastic Covert Optimization.
Adit JainVikram KrishnamurthyPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- stochastic optimization
- direct policy search
- optimization algorithm
- global optimization
- optimal control problems
- function approximation
- stochastic programming
- stochastic approximation
- optimization method
- optimal control
- machine learning
- stochastic search
- stochastic model
- optimization model
- multi agent
- information flow
- probability distribution
- markov decision processes
- monte carlo
- multistage
- state space
- optimization problems
- action selection
- temporal difference
- neural network
- learning automata
- evolutionary algorithm
- structured data