Guiding Inference with Policy Search Reinforcement Learning.
Matthew E. TaylorCynthia MatuszekPace Reagan SmithMichael J. WitbrockPublished in: FLAIRS Conference (2007)
Keyphrases
- policy search
- reinforcement learning
- continuous state
- reinforcement learning algorithms
- continuous action
- dynamic programming
- function approximation
- bayesian networks
- markov decision problems
- state space
- markov decision processes
- multi agent
- decision theoretic
- policy gradient
- dynamic environments
- heuristic search
- reward function
- partially observable markov decision processes
- state dependent
- state action
- hidden markov models