Jan Peters (Selection)

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91 Hirotaka Hachiya, Jan Peters, Masashi Sugiyama: Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning. Neural Computation 23(11): 2798-2832 (2011)

60 Hirotaka Hachiya, Jan Peters, Masashi Sugiyama: Efficient Sample Reuse in EM-Based Policy Search. ECML/PKDD (1) 2009: 469-484

49 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)

47 Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiyama, Jan Peters: Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation. AAAI 2008: 1351-1356

Selection of 4 from 120 records - Jan Peters has 114 coauthors

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91		Hirotaka Hachiya, Jan Peters, Masashi Sugiyama: Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning. Neural Computation 23(11): 2798-2832 (2011)
60		Hirotaka Hachiya, Jan Peters, Masashi Sugiyama: Efficient Sample Reuse in EM-Based Policy Search. ECML/PKDD (1) 2009: 469-484
49		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)
47		Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiyama, Jan Peters: Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation. AAAI 2008: 1351-1356