139 search results - page 2 / 28 » Model-based function approximation in reinforcement learning |
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
ICML
2002
IEEE
14 years 6 months ago
2002
IEEE
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
ECML
2006
Springer
13 years 9 months ago
2006
Springer
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
NIPS
2001
13 years 6 months ago
2001
We address two open theoretical questions in Policy Gradient Reinforcement Learning. The first concerns the efficacy of using function approximation to represent the state action ...