怕失去钱
发表于 2025-3-25 07:19:20
Editorial,for the journal. One measure of our success is that for 1994 in the category of “Computer Science/Artificial Intelligence,” . was ranked seventh in citation impact (out of a total of 32 journals) by the Institute for Scientific Information. This reflects the many excellent papers that have been subm
Grating
发表于 2025-3-25 10:40:20
Introduction, reinforcement learning into a major component of the machine learning field. Since then, the area has expanded further, accounting for a significant proportion of the papers at the annual . and attracting many new researchers.
流逝
发表于 2025-3-25 14:36:54
Efficient Reinforcement Learning through Symbiotic Evolution,ough genetic algorithms to form a neural network capable of performing a task. Symbiotic evolution promotes both cooperation and specialization, which results in a fast, efficient genetic search and discourages convergence to suboptimal solutions. In the inverted pendulum problem, SANE formed effect
MAIM
发表于 2025-3-25 15:53:37
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ingrate
发表于 2025-3-25 19:58:01
Feature-Based Methods for Large Scale Dynamic Programming,ve large scale stochastic control problems. In particular, we develop algorithms that employ two types of feature-based compact representations; that is, representations that involve feature extraction and a relatively simple approximation architecture. We prove the convergence of these algorithms a
向外供接触
发表于 2025-3-26 01:28:50
On the Worst-Case Analysis of Temporal-Difference Learning Algorithms, takes place in a sequence of trials, and the goal of the learning algorithm is to estimate a discounted sum of all the reinforcements that will be received in the future. In this setting, we are able to prove general upper bounds on the performance of a slightly modified version of Sutton’s so-call
地名词典
发表于 2025-3-26 07:44:00
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NIL
发表于 2025-3-26 10:03:50
Average Reward Reinforcement Learning: Foundations, Algorithms, and Empirical Results,cal tasks than the much better studied discounted framework. A wide spectrum of average reward algorithms are described, ranging from synchronous dynamic programming methods to several (provably convergent) asynchronous algorithms from optimal control and learning automata. A general sensitive disco
不规则
发表于 2025-3-26 13:46:06
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AVERT
发表于 2025-3-26 19:56:14
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