Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization.
Alonso MarcoFelix BerkenkampPhilipp HennigAngela P. SchoelligAndreas KrauseStefan SchaalSebastian TrimpePublished in: CoRR (2017)
Keyphrases
- reinforcement learning
- virtual space
- optimization problems
- real life
- optimization algorithm
- augmented reality
- global optimization
- virtual world
- virtual reality
- function approximation
- machine learning
- bayesian decision
- monte carlo sampling
- simulation data
- markov decision process
- bayesian inference
- markov decision processes
- dynamic programming
- state space
- virtual environment
- model free
- real world
- learning algorithm
- physical space
- physical world
- simulation environment
- combinatorial optimization
- learning classifier systems
- optimization process
- optimal policy
- simulation model
- optimization method
- numerical simulations