210 search results - page 5 / 42 » An analysis of reinforcement learning with function approxim... |
124
Voted
ATAL
2007
Springer
15 years 9 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
117
Voted
NIPS
1994
15 years 4 months ago
1994
To appear in: G. Tesauro, D. S. Touretzky and T. K. Leen, eds., Advances in Neural Information Processing Systems 7, MIT Press, Cambridge MA, 1995. A straightforward approach to t...
131
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Synchronous reinforcement learning (RL) algorithms with linear function approximation are representable as inhomogeneous matrix iterations of a special form (Schoknecht & Merk...
162
Voted
AAAI
2011
14 years 3 months ago
2011
We describe the Fourier Basis, a linear value function approximation scheme based on the Fourier Series. We empirically evaluate its properties, and demonstrate that it performs w...
ATAL
2009
Springer
15 years 10 months ago
2009
Springer