Associative Learning
Reinforcement
Observational Learning
Reinforcement Schedules
Avoidance Learning and Learned Helplessness
Woodward–Hoffmann Selection Rules and Microscopic Reversibility
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Updated: Jul 5, 2025

Place and Response Learning in the Open-field Tower Maze
Published on: October 28, 2015
Yash J Patel1,2, Sofiene Jerbi3, Thomas Bäck1
1LIACS, Leiden University, Leiden, The Netherlands.
研究人员开发了一种强化学习增强的递归量子近似优化算法 (RL-RQAOA),以改进复杂优化问题的解决方案,在具有挑战性的实例上超越现有的量子方法.
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