宣誓书
发表于 2025-3-28 14:59:04
,Policy Learning – A Unified Perspective with Applications in Robotics,umanoid robots. In this paper, we show two contributions: firstly, we show a unified perspective which allows us to derive several policy learning algorithms from a common point of view, i.e, policy gradient algorithms, natural-gradient algorithms and EM-like policy learning. Secondly, we present se
施魔法
发表于 2025-3-28 19:54:48
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FOIL
发表于 2025-3-29 00:24:58
United We Stand: Population Based Methods for Solving Unknown POMDPs,cy, which is typically much simpler than the environment. We present a global search algorithm capable of finding good policies for POMDPs that are substantially larger than previously reported results. Our algorithm is general; we show it can be used with, and improves the performance of, existing
Mercantile
发表于 2025-3-29 03:37:24
Regularized Fitted Q-Iteration: Application to Planning,ing a user-chosen kernel function. We derive bounds on the quality of the solution and argue that data-dependent penalties can lead to almost optimal performance. A simple example is used to illustrate the benefits of using a penalized procedure.
生气地
发表于 2025-3-29 07:51:57
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Adherent
发表于 2025-3-29 14:10:46
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价值在贬值
发表于 2025-3-29 17:49:36
0302-9743 reinfor- ment learning, on how it could be made more e?cient, applied to a broader range of applications, and utilized at more abstract and symbolic levels. As a participant in this 8th European Workshop on Reinforcement Learning, I was struck by both the quality and quantity of the presentations. T
Orthodontics
发表于 2025-3-29 22:05:20
Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case,nd for the algorithm is linear (up to a logarithmic term) in the size. of the parameter space, independently of the cardinality of the state and action spaces. We further demonstrate that much better dependence on . is possible, depending on the specific information structure of the problem.
finite
发表于 2025-3-30 00:01:52
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条约
发表于 2025-3-30 06:53:12
Tile Coding Based on Hyperplane Tiles,on capabilities of the tile coding approximator: in the hyperplane tile coding broad generalizations over the problem space result only in a soft degradation of the performance, whereas in the usual tile coding they might dramatically affect the performance.