360 search results - page 11 / 72 » Combining Learned Discrete and Continuous Action Models |
99
Voted
APN
2006
Springer
2006
Springer
From Petri Nets to Differential Equations - An Integrative Approach for Biochemical Network Analysis
14 years 11 months ago
Abstract. We report on the results of an investigation into the integration of Petri nets and ordinary differential equations (ODEs) for the modelling and analysis of biochemical n...
NIPS
2007
14 years 11 months ago
2007
We combine three threads of research on approximate dynamic programming: sparse random sampling of states, value function and policy approximation using local models, and using lo...
AAAI
2006
14 years 11 months ago
2006
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
ICRA
2008
IEEE
15 years 3 months ago
2008
IEEE
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
100
click to vote
EWRL
2008
14 years 11 months ago
2008
We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...