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ROBOCUP
2007
Springer
102views Robotics» more  ROBOCUP 2007»
13 years 11 months ago
Heuristic Reinforcement Learning Applied to RoboCup Simulation Agents
This paper describes the design and implementation of robotic agents for the RoboCup Simulation 2D category that learns using a recently proposed Heuristic Reinforcement Learning a...
Luiz A. Celiberto, Carlos H. C. Ribeiro, Anna Hele...
ICRA
2005
IEEE
140views Robotics» more  ICRA 2005»
13 years 11 months ago
Fast Reinforcement Learning for Vision-guided Mobile Robots
— This paper presents a new reinforcement learning algorithm for accelerating acquisition of new skills by real mobile robots, without requiring simulation. It speeds up Q-learni...
Tomás Martínez-Marín, Tom Duc...
ICML
2006
IEEE
13 years 11 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
AGENTS
2001
Springer
13 years 10 months ago
Hierarchical multi-agent reinforcement learning
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamz...
CHARME
2005
Springer
136views Hardware» more  CHARME 2005»
13 years 11 months ago
Acceleration of SAT-Based Iterative Property Checking
Today, verification is becoming the dominating factor for successful circuit designs. In this context formal verification techniques allow to prove the correctness of a circuit ...
Daniel Große, Rolf Drechsler