168 search results - page 19 / 34 » Optimism in Reinforcement Learning Based on Kullback-Leibler... |
178
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ATAL
2004
Springer
15 years 11 months ago
2004
Springer
Multi-agent research often borrows from biology, where remarkable examples of collective intelligence may be found. One interesting example is ant colonies’ use of pheromones as...
190
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ICML
2007
IEEE
16 years 6 months ago
2007
IEEE
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
161
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AAAI
2000
15 years 7 months ago
2000
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
167
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IJCNN
2006
IEEE
16 years 3 days ago
2006
IEEE
— Biped robots based on the concept of (passive) dynamic walking are far simpler than the traditional fullycontrolled walking robots, while achieving a more natural gait and cons...
153
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...