Ronald J. Williams

According to our database, Ronald J. Williams authored at least 9 papers between 1988 and 2009.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2009

Partial Order Optimum Likelihood (POOL): Maximum Likelihood Prediction of Protein Active Site Residues Using 3D Structure and Sequence Properties.

Wenxu Tong, Ying Wei, Leonel F. Murga, Mary Jo Ondrechen, Ronald J. Williams

PLoS Comput. Biol., 2009

1998

Robust, Efficient, Globally-Optimized Reinforcement Learning with the Parti-Game Algorithm.

Mohammad A. Al-Ansari, Ronald J. Williams

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1996

Incremental Multi-Step Q-Learning.

Jing Peng, Ronald J. Williams

Mach. Learn., 1996

1994

Dynamic recurrent neural networks: Theory and applications.

C. Lee Giles, Gary M. Kuhn, Ronald J. Williams

IEEE Trans. Neural Networks Learn. Syst., 1994

1993

Efficient Learning and Planning Within the Dyna Framework.

Jing Peng, Ronald J. Williams

Adapt. Behav., 1993

1992

Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning.

Ronald J. Williams

Mach. Learn., 1992

1990

An Efficient Gradient-Based Algorithm for On-Line Training of Recurrent Network Trajectories.

Ronald J. Williams, Jing Peng

Neural Comput., 1990

1989

A Learning Algorithm for Continually Running Fully Recurrent Neural Networks.

Ronald J. Williams, David Zipser

Neural Comput., 1989

1988

On the use of backpropagation in associative reinforcement learning.

Ronald J. Williams

Proceedings of International Conference on Neural Networks (ICNN'88), 1988