Past year
All results
- All results
- Verbatim
3 days ago ， Lin (1992). "Self-Improving Reactive Agents Based on Reinforcement Learning, Planning and Teaching", Machine Learning (8:3), pp. 293–321.
Sep 14, 2024 ， Self-improving reactive agents based on reinforcement learning, planning and teaching. Mach. Learn., 8 (1992), pp. 293-321. View in Scopus Google Scholar. [82].
Sep 16, 2024 ， Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent ought to take actions
Apr 23, 2024 ， Self-improving reactive agents based on reinforcement learning, planning and teaching. Machine learning, 8:293–321, 1992. [23] Ryan Lowe, Yi I Wu, Aviv ...
May 23, 2024 ， Reinforcement Learning: An Introduction. MIT Press. Lin, L. J. (1992). ＾Self-improving reactive agents based on reinforcement learning, planning and teaching.
May 7, 2024 ， Self-improving reactive agents based on reinforcement learning, planning and teaching. Machine Learning. 1992;8:293–321. doi: 10.1007/BF00992699. [CrossRef] ...
Dec 6, 2023 ， Self-improving reactive agents based on reinforcement learning, planning and teaching. Machine learning, 8:293–321, 1992. Xiuyuan Lu and Benjamin Van Roy ...
May 6, 2024 ， 1992. Self-improving reactive agents based on reinforcement learning, planning and teaching. Machine learning, Vol. 8, 3 (1992), 293--321.
Mar 12, 2024 ， Experience replay has been instrumental in achieving significant advancements in reinforcement learning by increasing the utilization of data.
Feb 27, 2024 ， ML95. Lin, L. J. (1992) Self-improving reactive agents based on reinforcement learning, planning and teaching. Machine Learning, 8(3 ...
People also search for
