360 search results - page 34 / 72 » Combining Learned Discrete and Continuous Action Models |
148
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ICRA
2010
IEEE
15 years 2 months ago
2010
IEEE
— 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...
151
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NIPS
1996
15 years 5 months ago
1996
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
130
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HYBRID
1998
Springer
15 years 8 months ago
1998
Springer
Abstract. Hybrid cc is a constraint programming language suitable for modeling, controlling and simulating hybrid systems, i.e. systems with continuous and discrete state changes. ...
126
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WDAG
2007
Springer
15 years 10 months ago
2007
Springer
Consider a distributed network of n nodes that is connected to a global source of “beats”. All nodes receive the “beats” simultaneously, and operate in lock-step. A scheme ...
118
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ECML
2006
Springer
15 years 8 months ago
2006
Springer
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...