210 search results - page 5 / 42 » An analysis of reinforcement learning with function approxim... |
95
Voted
ATAL
2007
Springer
15 years 5 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...
85
Voted
NIPS
1994
15 years 28 days 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...
ICML
2004
IEEE
16 years 12 days ago
2004
IEEE
Synchronous reinforcement learning (RL) algorithms with linear function approximation are representable as inhomogeneous matrix iterations of a special form (Schoknecht & Merk...
128
Voted
AAAI
2011
13 years 11 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 6 months ago
2009
Springer