Active physical inference via reinforcement learning.
Shuaiji LiYu SunSijia LiuTianyu WangTodd M. GureckisNeil BramleyPublished in: CogSci (2019)
Keyphrases
- reinforcement learning
- function approximation
- state space
- probabilistic inference
- bayesian networks
- temporal difference
- bayesian inference
- inference process
- machine learning
- multi agent
- multi agent reinforcement learning
- reinforcement learning algorithms
- decision theoretic
- inference engine
- belief networks
- transfer learning
- real world
- markov decision processes
- optimal policy
- dynamic programming
- dynamic bayesian networks
- model free
- hidden markov models
- genetic algorithm
- learning capabilities
- bayesian model
- grammatical inference
- neural network