Sciweavers

ICML
2010
IEEE
13 years 10 months ago
Constructing States for Reinforcement Learning
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 ...
M. M. Hassan Mahmud
NIPS
2004
14 years 1 months ago
Resolving Perceptual Aliasing In The Presence Of Noisy Sensors
Agents learning to act in a partially observable domain may need to overcome the problem of perceptual aliasing
Guy Shani, Ronen I. Brafman