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» Policy teaching through reward function learning
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ATAL
2007
Springer
14 years 1 months ago
Multiagent learning in adaptive dynamic systems
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
Andriy Burkov, Brahim Chaib-draa
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
14 years 2 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
ICALT
2006
IEEE
14 years 1 months ago
Plagiarism in e-Learning Systems: Identifying and Solving the Problem for Practical Assignments
A big part of life long learning is the move from residential lectures to distance education. Distance education falls under the multi-modal policy of the teaching institution and...
Emil Marais, Ursula Minnaar, David Argles
NIPS
2007
13 years 9 months ago
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
We consider apprenticeship learning—learning from expert demonstrations—in the setting of large, complex domains. Past work in apprenticeship learning requires that the expert...
J. Zico Kolter, Pieter Abbeel, Andrew Y. Ng
OOPSLA
1999
Springer
13 years 12 months ago
Atlas: A Case Study in Building a Web-Based Learning Environment using Aspect-oriented Programming
The Advanced Teaching and Learning Academic Server (Atlas) is a software system that supports web-based learning. Students can register for courses, and can navigate through perso...
Mik Kersten, Gail C. Murphy