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» Modeling plan coordination in multiagent decision processes
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ICML
2001
IEEE
14 years 8 months ago
Continuous-Time Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Mohammad Ghavamzadeh, Sridhar Mahadevan
UM
2005
Springer
14 years 1 months ago
Modeling Students' Metacognitive Errors in Two Intelligent Tutoring Systems
Intelligent tutoring systems help students acquire cognitive skills by tracing students’ knowledge and providing relevant feedback. However, feedback that focuses only on the cog...
Ido Roll, Ryan Shaun Baker, Vincent Aleven, Bruce ...
ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
14 years 2 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
NN
2007
Springer
13 years 7 months ago
A neural model of decision-making by the superior colicullus in an antisaccade task
In the antisaccade paradigm subjects are instructed to perform eye movements in the opposite direction from the location of a visually appearing stimulus while they are fixating ...
Vassilis Cutsuridis, Nikolaos Smyrnis, Ioannis Evd...
AAAI
2006
13 years 9 months ago
Improving Approximate Value Iteration Using Memories and Predictive State Representations
Planning in partially-observable dynamical systems is a challenging problem, and recent developments in point-based techniques such as Perseus significantly improve performance as...
Michael R. James, Ton Wessling, Nikos A. Vlassis