16 search results - page 1 / 4 » Predictive State Representations for grounding human-robot c... |
ICRA
2010
IEEE
13 years 3 months ago
2010
IEEE
— Allowing robots to communicate naturally with humans is a major goal for social robotics. Most approaches have focused on building high-level probabilistic cognitive models. Ho...
IJCAI
2007
13 years 6 months ago
2007
NIPS
2001
13 years 6 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...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
IJCAI
2003
13 years 6 months ago
2003
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...