312 search results - page 14 / 63 » Learning Partially Observable Deterministic Action Models |
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
AI
2006
Springer
13 years 11 months ago
2006
Springer
Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
ATAL
2006
Springer
13 years 11 months ago
2006
Springer
We present a method for learning a human understandable, executable model of an agent's behavior using observations of its interaction with the environment. By executable we ...
IDEAL
2004
Springer
14 years 29 days ago
2004
Springer
Abstract. One of the objectives of intelligent data engineering and automated learning is to develop algorithms that learn the environment, generate rules, and take possible course...
ICRA
2009
IEEE
14 years 2 months ago
2009
IEEE
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...