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101
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ICML
2008
IEEE
16 years 3 months ago
Space-indexed dynamic programming: learning to follow trajectories
We consider the task of learning to accurately follow a trajectory in a vehicle such as a car or helicopter. A number of dynamic programming algorithms such as Differential Dynami...
J. Zico Kolter, Adam Coates, Andrew Y. Ng, Yi Gu, ...
106
Voted
ICRA
2000
IEEE
101views Robotics» more  ICRA 2000»
15 years 6 months ago
Towards Programming Tools for Robots that Integrate Probabilistic Computation and Learning
This paper describes a programming language extension of C++, called CES, specifically targeted towards mobile robot control. CES’s design is motivated by a recent series of su...
Sebastian Thrun
ICPADS
1996
IEEE
15 years 6 months ago
Transactional programming for distributed agent systems
A new multiagent programmingparadigm based on the transactional logic model' is developed. This paradigm enables us to construct a Distributed agent transactional program (DA...
V. K. Murthy
105
Voted
CHI
2009
ACM
16 years 2 months ago
Two studies of opportunistic programming: interleaving web foraging, learning, and writing code
This paper investigates the role of online resources in problem solving. We look specifically at how programmers--an exemplar form of knowledge workers--opportunistically interlea...
Joel Brandt, Philip J. Guo, Joel Lewenstein, Mira ...
ICML
2006
IEEE
15 years 8 months ago
Automatic basis function construction for approximate dynamic programming and reinforcement learning
We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...
Philipp W. Keller, Shie Mannor, Doina Precup