AP Computer Science A

Known as: Grid World, GridWorld, GridWorld Case Study 
Advanced Placement Computer Science A (also called AP Java) is an AP Computer Science course and examination offered by the College Board to high… (More)
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2019
2019
An Afternoon with an AP Computer Science A Exam Reader
Advanced Placement (AP) Computer Science A (CS A) is an introductory high school Java course equivalent to a CS1 course at the… (More)
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Review
2015
Review
2015
Achieving a shared goal with AP Computer Science A and AP Computer Science Principles
College Board has joined national efforts to improve the state of STEM education, in particular to address the challenge of… (More)
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2015
2015
AP® computer science principles: a conversation with the college board
explore real-world problems that interest them and then work col-laboratively to design and implement their ideas using an… (More)
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Review
2014
Review
2014
Advanced placement computer science: AP computer science a and AP computer science principles
College Board has joined national efforts to improve the state of STEM education, in particular to address the challenge of… (More)
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Highly Cited
2008
Highly Cited
2008
Amyloid-β protein dimers isolated directly from Alzheimer's brains impair synaptic plasticity and memory
Alzheimer's disease constitutes a rising threat to public health. Despite extensive research in cellular and animal models… (More)
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Highly Cited
2007
Highly Cited
2007
Cross-domain transfer for reinforcement learning
A typical goal for transfer learning algorithms is to utilize knowledge gained in a source task to learn a target task faster… (More)
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Highly Cited
2007
Highly Cited
2007
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision… (More)
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Highly Cited
2003
Highly Cited
2003
The Cross Entropy Method for Fast Policy Search
We present a learning framework for Markovian decision processes that is based on optimization in the policy space. Instead of… (More)
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Highly Cited
2002
Highly Cited
2002
Multiple Model-Based Reinforcement Learning
We propose a modular reinforcement learning architecture for nonlinear, nonstationary control tasks, which we call multiple model… (More)
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Highly Cited
1997
Highly Cited
1997
Multi-time Models for Temporally Abstract Planning
Planning and learning at multiple levels of temporal abstraction is a key problem for artificial intelligence. In this paper we… (More)
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