Report of the 1996 Workshop on Reinforcement Learning Sponsored by the National Science Foundation Preface and Acknowledgements
نویسندگان
چکیده
This document describes the results of a two-day meeting of leading researchers in the area of reinforcement learning (RL). As RL is an interdisciplinary topic, the aim was to bring together researchers from a variety of elds, including machine learning, neural networks, arti cial intelligence, robotics, and operations research. Thirty leading researchers in the eld participated in the workshop, from many di erent universities, government and industrial research laboratories. The goals of the meeting were to (1) understand limitations of current RL systems and de ne promising directions for further research, (2) clarify the relationships between RL and existing work in engineering elds, such as operations research, and (3) identify potential industrial applications of RL. 2
منابع مشابه
The National Science Foundation Workshop on Reinforcement Learning
learning, neural networks, robotics, AI, and engineering. In recognition of the growing importance of reinforcement learning, it seemed an opportune time to bring together leading researchers from these areas for a three-day meeting consisting of general and wide-ranging discussions. The National Science Foundation (NSF) sponsored the workshop with a generous grant to cover the travel and lodgi...
متن کاملThe NSF Workshop on Reinforcement Learning : Summary and Observations 1
Reinforcement learning (RL) has become one of the most actively studied learning frameworks in the area of intelligent autonomous agents. This article describes the results of a three-day meeting of leading researchers in this area, sponsored by the National Science Foundation (NSF). As RL is an interdisciplinary topic, the workshop brought together researchers from a variety of elds, including...
متن کاملAn Electronic Market-Maker
This paper presents an adaptive learning model for market-making under the reinforcement learning framework. Reinforcement learning is a learning technique in which agents aim to maximize the long-term accumulated rewards. No knowledge of the market environment, such as the order arrival or price process, is assumed. Instead, the agent learns from realtime market experience and develops explici...
متن کاملFrom Washington
A recent workshop sponsored by the National Science Foundation, the Government Information Technology Services Board, and the National Institutes of Health investigated the use of information technology within the federal government. A final report on the findings of that workshop was issued in June. This column reflects a summary of those findings; the full report can be found at www.isi.edu/ ...
متن کاملPresenting Governance Models: a Case Study for Scientific Groups of National Elite Foundation
One of the most important components in the university teaching-learning context is the relationship between teacher and student. The formation of scientific groups is a new action that is running by the National Elite Foundation. In this time, one of the most important issues of the National Elite Foundation is the recognition of administrative requirements for the Strengthen and expansion of ...
متن کامل