Reinforcement Learning

Capstone Papers

Top cited papers (250+ citations, 2018-2024) ranked by citation count.

#	Paper	Citations
1	Representation Learning with Contrastive Predictive Coding Aäron van den Oord, Yazhe Li, Oriol Vinyals arXiv (Cornell University) 2018	4,482
2	Training language models to follow instructions with human feedback Long Ouyang, Jeff Wu, Xu Jiang et al. arXiv (Cornell University) 2022	4,216
3	Representation Learning with Contrastive Predictive Coding Aäron van den Oord, Yazhe Li, Oriol Vinyals arXiv (Cornell University) 2018	3,764
4	Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel et al. arXiv (Cornell University) 2018	3,469
5	A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play David Silver, Thomas Hubert, Julian Schrittwieser et al. Science 2018	3,322
6	Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto, Herke van Hoof, David Meger arXiv (Cornell University) 2018	2,356
7	A review of uncertainty quantification in deep learning: Techniques, applications and challenges Moloud Abdar, Farhad Pourpanah, Sadiq Hussain et al. Information Fusion 2021	2,080
8	Progressive Neural Architecture Search Chenxi Liu, Barret Zoph, Maxim Neumann et al. Lecture notes in computer science 2018	1,934
9	A Survey on Multi-Task Learning Yu Zhang, Qiang Yang IEEE Transactions on Knowledge and Data Engineering 2021	1,864
10	A survey on ensemble learning Dong Xibin, Zhiwen Yu, Wenming Cao et al. Frontiers of Computer Science 2019	1,732