Neural Stochastic Dual Dynamic Programming.
Hanjun DaiYuan XueZia SyedDale SchuurmansBo DaiPublished in: CoRR (2021)
Keyphrases
- dynamic programming
- network architecture
- neural network
- forward and backward
- multistage
- monte carlo
- stochastic optimization
- linear programming
- reinforcement learning
- locally optimal
- stochastic programming
- state space
- associative memory
- artificial neural
- stochastic nature
- stochastic models
- primal dual
- greedy algorithm
- linear program
- optimal policy
- bio inspired
- neural model
- stochastic process
- learning automata
- coarse to fine
- stereo matching
- markov decision processes
- biologically plausible
- neural architecture
- information systems