Reinforcement Learning through Active Inference.
Alexander TschantzBeren MillidgeAnil K. SethChristopher L. BuckleyPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- reinforcement learning algorithms
- function approximation
- robotic control
- bayesian inference
- multi agent
- bayesian networks
- inference mechanism
- state space
- inference process
- neural network
- markov decision processes
- temporal difference
- dynamic programming
- machine learning
- learning problems
- probabilistic inference
- learning algorithm
- transfer learning
- evidential reasoning
- structured prediction
- grammatical inference
- multi agent reinforcement learning
- optimal policy
- least squares
- learning process
- image segmentation
- knowledge base
- e learning
- data mining