Guiding Search in Continuous State-Action Spaces by Learning an Action Sampler From Off-Target Search Experience.
Beomjoon KimLeslie Pack KaelblingTomás Lozano-PérezPublished in: AAAI (2018)
Keyphrases
- continuous state
- action space
- reinforcement learning
- continuous action
- search experience
- state action
- policy search
- state space
- robot navigation
- action selection
- markov decision processes
- real valued
- finite state
- continuous state spaces
- state dependent
- search algorithm
- query reformulation
- learning algorithm
- control policies
- planning problems
- optimal policy
- function approximators
- relevance feedback
- query logs
- domain independent
- web search engines