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ESANN
2008
15 years 4 months ago
Improvement in Game Agent Control Using State-Action Value Scaling
The aim of this paper is to enhance the performance of a reinforcement learning game agent controller, within a dynamic game environment, through the retention of learned informati...
Leo Galway, Darryl Charles, Michaela M. Black
115
Voted
ESANN
2004
15 years 4 months ago
High-accuracy value-function approximation with neural networks applied to the acrobot
Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...
Rémi Coulom
115
Voted
NIPS
2004
15 years 4 months ago
Responding to Modalities with Different Latencies
Motor control depends on sensory feedback in multiple modalities with different latencies. In this paper we consider within the framework of reinforcement learning how different s...
Fredrik Bissmarck, Hiroyuki Nakahara, Kenji Doya, ...
AIS
2006
Springer
15 years 2 months ago
Context enhancement for co-intentionality and co-reference in asynchronous CMC
The regulative and semantic `distance' of electronic conferencing may impede the topical alignment and the unambiguous interpretation of messages, hindering collaborative lear...
J. van der Pol, Wilfried Admiraal, P. Simons
143
Voted
JCP
2007
143views more  JCP 2007»
15 years 2 months ago
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization
Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
Nicolas Chapados, Yoshua Bengio