Amanote Research
Register
Sign In
Performance Analysis of a New Updating Rule for TD(λ) Learning in Feedforward Networks for Position Evaluation in Go Game
doi 10.1109/icnn.1996.549159
Full Text
Open PDF
Abstract
Available in
full text
Date
Unknown
Authors
I. King
J.C.S. Lui
Publisher
IEEE
Related search
Transfer Learning Approach for Fast Convergence of Deep Q Networks in Game Pong
International Journal of Computer Applications
Performance Analysis for Gait in Camera Networks
Smart Wearables for Tennis Game Performance Analysis
Error-Gated Hebbian Rule: A Local Learning Rule for Principal and Independent Component Analysis
Scientific Reports
Multidisciplinary
Performance Evaluation of a New Adaptive Packet Marking Scheme for TCP Over DiffServ Networks
Performance Evaluation for a Unicast Non Delay Tolerant Position Based Routing Protocols in VANETs
International Journal of Computer Applications
QoS-aware Fuzzy Rule-Based Vertical Handoff Decision Algorithm Incorporating a New Evaluation Model for Wireless Heterogeneous Networks
Eurasip Journal on Wireless Communications and Networking
Computer Networks
Computer Science Applications
Signal Processing
Communications
Static Analysis of Life and Death in the Game of Go
Information Sciences
Control
Systems Engineering
Management
Theoretical Computer Science
Computer Science Applications
Information Systems
Artificial Intelligence
Software
A Parallel Rule Activation and Rule Synthesis Model for Generalization in Category Learning
Psychonomic Bulletin and Review
Developmental
Arts
Educational Psychology
Cognitive Psychology
Humanities
Experimental
