160 search results - page 7 / 32 » Optimization on a Budget: A Reinforcement Learning Approach |
ICML
1995
IEEE
14 years 8 months ago
1995
IEEE
In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...
ML
2002
ACM
13 years 7 months ago
2002
ACM
We present new algorithms for reinforcement learning, and prove that they have polynomial bounds on the resources required to achieve near-optimal return in general Markov decisio...
ECML
2003
Springer
14 years 23 days ago
2003
Springer
Due to the unavoidable fact that a robot’s sensors will be limited in some manner, it is entirely possible that it can find itself unable to distinguish between differing state...
IEEEPACT
2008
IEEE
14 years 1 months ago
2008
IEEE
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...