575 search results - page 70 / 115 » Reinforcement Learning State Estimator |
109
Voted
NIPS
2001
15 years 1 months ago
2001
We show that states of a dynamical system can be usefully represented by multi-step, action-conditional predictions of future observations. State representations that are grounded...
128
Voted
CI
2005
15 years 10 days ago
2005
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
AAAI
2010
15 years 1 months ago
2010
It is well known that there cannot be a single "best" heuristic for optimal planning in general. One way of overcoming this is by combining admissible heuristics (e.g. b...
106
Voted
CDC
2010
IEEE
14 years 7 months ago
2010
IEEE
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
107
Voted
INTERSPEECH
2010
14 years 7 months ago
2010
We investigate incremental word learning in a Hidden Markov Model (HMM) framework suitable for human-robot interaction. In interactive learning, the tutoring time is a crucial fac...