Estimating Internal Variables and Paramters of a Learning Agent by a Particle Filter.
Kazuyuki SamejimaKenji DoyaYasumasa UedaMinoru KimuraPublished in: NIPS (2003)
Keyphrases
- particle filter
- learning agent
- state space
- state variables
- object tracking
- visual tracking
- reinforcement learning
- particle filtering
- monte carlo
- appearance model
- solving problems
- motion model
- kalman filter
- learning algorithm
- learning capabilities
- observation model
- markov decision processes
- markov chain
- reinforcement learning algorithms
- rao blackwellized particle filter
- dynamic systems
- learning process
- mixed initiative
- learning tasks
- reward function
- multi agent systems
- single agent
- search space
- multi agent
- learning environment
- data mining
- prior knowledge
- dynamic programming
- random variables