1760 search results - page 5 / 352 » Learning from Partial Observations |
ICANN
2001
Springer
14 years 1 days ago
2001
Springer
Unlike traditional reinforcement learning (RL), market-based RL is in principle applicable to worlds described by partially observable Markov Decision Processes (POMDPs), where an ...
AAAI
2006
13 years 9 months ago
2006
We present an algorithm that derives actions' effects and preconditions in partially observable, relational domains. Our algorithm has two unique features: an expressive rela...
AAAI
2006
13 years 9 months ago
2006
We present tractable, exact algorithms for learning actions' effects and preconditions in partially observable domains. Our algorithms maintain a propositional logical repres...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
TSMC
2010
13 years 2 months ago
2010
Traditional planning assumes reachability goals and/or full observability. In this paper, we propose a novel solution for safety and reachability planning with partial observabilit...