139 search results - page 2 / 28 » Model-based function approximation in reinforcement learning |
80
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
60
Voted
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
ICML
2002
IEEE
15 years 10 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
15 years 1 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 ...
78
Voted
NIPS
2001
14 years 11 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 ...