259 search results - page 15 / 52 » Reinforcement Learning with the Use of Costly Features |
CORR
2010
Springer
13 years 8 months ago
2010
Springer
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
AGENTS
1998
Springer
14 years 2 months ago
1998
Springer
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
RAS
2010
13 years 8 months ago
2010
One important design decision for the development of autonomously navigating mobile robots is the choice of the representation of the environment. This includes the question which...
ECML
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
ICASSP
2008
IEEE
14 years 4 months ago
2008
IEEE
Repair or error-recovery strategies are an important design issue in Spoken Dialogue Systems (SDSs) - how to conduct the dialogue when there is no progress (e.g. due to repeated A...