 | 2009 |
|---|
| 6 |       | Hirotaka Hachiya,
Jan Peters,
Masashi Sugiyama:
Efficient Sample Reuse in EM-Based Policy Search.
ECML/PKDD (1) 2009: 469-484 |
| 5 | | Takayuki Akiyama,
Hirotaka Hachiya,
Masashi Sugiyama:
Active Policy Iteration: Efficient Exploration through Active Learning for Value Function Approximation in Reinforcement Learning.
IJCAI 2009: 980-985 |
| 4 | | Hirotaka Hachiya,
Takayuki Akiyama,
Masashi Sugiyama,
Jan Peters:
Adaptive importance sampling for value function approximation in off-policy reinforcement learning.
Neural Networks 22(10): 1399-1410 (2009) |
| 2008 |
|---|
| 3 |  | Hirotaka Hachiya,
Takayuki Akiyama,
Masashi Sugiyama,
Jan Peters:
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation.
AAAI 2008: 1351-1356 |
| 2 | | Masashi Sugiyama,
Hirotaka Hachiya,
Christopher Towell,
Sethu Vijayakumar:
Geodesic Gaussian kernels for value function approximation.
Auton. Robots 25(3): 287-304 (2008) |
| 2007 |
|---|
| 1 | | Masashi Sugiyama,
Hirotaka Hachiya,
Christopher Towell,
Sethu Vijayakumar:
Value Function Approximation on Non-Linear Manifolds for Robot Motor Control.
ICRA 2007: 1733-1740 |
