56 search results - page 8 / 12 » Q-Learning in Continuous State and Action Spaces |
MIRRORBOT
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. A biologically inspired computational model of rodent representation–based (locale) navigation is presented. The model combines visual input in the form of realistic tw...
ESANN
2007
15 years 1 months ago
2007
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
106
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ICANNGA
2007
Springer
15 years 5 months ago
2007
Springer
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...
106
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AIPS
2007
15 years 2 months ago
2007
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
IJRR
2011
14 years 6 months ago
2011
We discuss vision as a sensory modality for systems that effect actions in response to perceptions. While the internal representations informed by vision may be arbitrarily compl...