1236 search results - page 90 / 248 » Opposition-Based Reinforcement Learning |
133
Voted
ATAL
2007
Springer
15 years 6 months ago
2007
Springer
We consider the problem of finding optimal strategies in infinite extensive form games with incomplete information that are repeatedly played. This problem is still open in lite...
120
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ECAL
2001
Springer
15 years 5 months ago
2001
Springer
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
125
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EWRL
2008
15 years 2 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 ...
109
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AR
2004
15 years 17 days ago
2004
This paper presents a method for learning the parameters of rhythmic walking to generate purposive humanoid motions. The controller consists of the two layers: rhythmic walking is...
96
Voted
ICSTM
2000
15 years 2 months ago
2000
Performance measurement systems based on the principle that "if you can't measure it, you can't manage it" reinforce a short-term culture by focussing on tangi...