3324 search results - page 214 / 665 » Learning Appropriate Contexts |
114
Voted
ECML
2003
Springer
15 years 10 months ago
2003
Springer
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
136
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IJCAI
2007
15 years 6 months ago
2007
Although many powerful AI and machine learning techniques exist, it remains difficult to quickly create AI for embodied virtual agents that produces visually lifelike behavior. T...
167
Voted
AAAI
2006
15 years 6 months ago
2006
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
149
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NIPS
1993
15 years 6 months ago
1993
While exploring to nd better solutions, an agent performing online reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, ...
142
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ECTEL
2010
Springer
15 years 6 months ago
2010
Springer
Abstract. Knowledge work is performed in all occupations and across all industries. The level of similarity of knowledge work allows for designing supporting tools that can be wide...