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ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
15 years 5 months ago
Generalized model learning for Reinforcement Learning on a humanoid robot
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
Todd Hester, Michael Quinlan, Peter Stone
VL
2010
IEEE
196views Visual Languages» more  VL 2010»
15 years 5 months ago
Smart Objects for Intelligent Applications - ADK
SOFIA (Artemis project: http://www.sofiaproject.eu/) focuses on answering the challenge of creating smart environments and its goal is to make information that resides in the phys...
Jesus Fernandez Gomez-Pimpollo, Raul Otaolea
PLDI
2009
ACM
16 years 7 months ago
Semantics-aware trace analysis
As computer systems continue to become more powerful and comdo programs. High-level abstractions introduced to deal with complexity in large programs, while simplifying human reas...
Kevin J. Hoffman, Patrick Eugster, Suresh Jagannat...
TOMS
1998
148views more  TOMS 1998»
15 years 6 months ago
PELLPACK: A Problem-Solving Environment for PDE-Based Applications on Multicomputer Platforms
This paper presents the software architecture and implementation of the problem solving environment (PSE) PELLPACK for modeling physical objects described by partial differential ...
Elias N. Houstis, John R. Rice, Sanjiva Weerawaran...
COORDINATION
2009
Springer
16 years 7 months ago
Exceptionally Safe Futures
A future is a well-known programming construct used to introduce concurrency to sequential programs. Computations annotated as futures are executed asynchronously and run concurren...
Armand Navabi, Suresh Jagannathan