536 search results - page 11 / 108 » Residual Algorithms: Reinforcement Learning with Function Ap... |
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
AMAI
2004
Springer
14 years 1 months ago
2004
Springer
ICINCO
2008
13 years 9 months ago
2008
NIPS
1996
13 years 9 months ago
1996
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...