Provably Robust Blackbox Optimization for Reinforcement Learning.
Krzysztof ChoromanskiAldo PacchianoJack Parker-HolderYunhao TangDeepali JainYuxiang YangAtil IscenJasmine HsuVikas SindhwaniPublished in: CoRL (2019)
Keyphrases
- reinforcement learning
- optimization algorithm
- case study
- temporal difference learning
- parameter tuning
- function approximation
- global optimization
- optimization problems
- state space
- optimization method
- computationally efficient
- optimization methods
- mathematical programming
- discrete optimization
- optimization strategies
- data sets
- robotic control