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» Learning Inverse Dynamics: a Comparison
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ICML
2004
IEEE
14 years 10 months ago
Learning low dimensional predictive representations
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 3 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
ICRA
2007
IEEE
110views Robotics» more  ICRA 2007»
14 years 4 months ago
A Reinforcement Learning Approach to Lift Generation in Flapping MAVs: Experimental Results
— In [17] we proposed an RL framework for control of flapping-wing MAVs. The algorithm has been discussed and simulation results using a quasi-steady model showed initial promis...
Mehran Motamed, Joseph Yan
SACMAT
2003
ACM
14 years 3 months ago
Dynamic access control: preserving safety and trust for network defense operations
We investigate the cost of changing access control policies dynamically as a response action in computer network defense. We compare and contrast the use of access lists and capab...
Prasad Naldurg, Roy H. Campbell
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 4 months ago
Towards clustering with XCS
This paper presents a novel approach to clustering using an accuracy-based Learning Classifier System. Our approach achieves this by exploiting the generalization mechanisms inher...
Kreangsak Tamee, Larry Bull, Ouen Pinngern