Ronald J. Williams

Publication Activity (10 Years)

Years Active: 1988-2009
Publications (10 Years): 0

Publications

Wenxu Tong, Ying Wei, Leonel F. Murga, Mary Jo Ondrechen, Ronald J. Williams
Partial Order Optimum Likelihood (POOL): Maximum Likelihood Prediction of Protein Active Site Residues Using 3D Structure and Sequence Properties. PLoS Comput. Biol. 5 (1) (2009)
Mohammad A. Al-Ansari, Ronald J. Williams
Robust, Efficient, Globally-Optimized Reinforcement Learning with the Parti-Game Algorithm. NIPS (1998)
Jing Peng, Ronald J. Williams
Incremental Multi-Step Q-Learning. Mach. Learn. 22 (1-3) (1996)
Jing Peng, Ronald J. Williams
Incremental Multi-Step Q-Learning. ICML (1994)
C. Lee Giles, Gary M. Kuhn, Ronald J. Williams
Dynamic recurrent neural networks: Theory and applications. IEEE Trans. Neural Networks Learn. Syst. 5 (2) (1994)
Jing Peng, Ronald J. Williams
Efficient Learning and Planning Within the Dyna Framework. Adapt. Behav. 1 (4) (1993)
Jing Peng, Ronald J. Williams
Efficient learning and planning within the Dyna framework. ICNN (1993)
Ronald J. Williams
Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning. Mach. Learn. 8 (1992)
Ronald J. Williams, Jing Peng
An Efficient Gradient-Based Algorithm for On-Line Training of Recurrent Network Trajectories. Neural Comput. 2 (4) (1990)
Ronald J. Williams, David Zipser
A Learning Algorithm for Continually Running Fully Recurrent Neural Networks. Neural Comput. 1 (2) (1989)
Ronald J. Williams
On the use of backpropagation in associative reinforcement learning. ICNN (1988)