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Theoretically Principled Deep RL Acceleration via Nearest Neighbor
  Function Approximation

Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation

9 October 2021
Junhong Shen
Lin F. Yang
    OffRL
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Papers citing "Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation"

3 / 3 papers shown
Title
CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
Shanda Li
Tanya Marwah
Junhong Shen
W. Sun
Andrej Risteski
Yiming Yang
Ameet Talwalkar
AI4CE
46
0
0
13 May 2025
Specialized Foundation Models Struggle to Beat Supervised Baselines
Specialized Foundation Models Struggle to Beat Supervised Baselines
Zongzhe Xu
Ritvik Gupta
Wenduo Cheng
Alexander Shen
Junhong Shen
Ameet Talwalkar
M. Khodak
AI4CE
59
7
0
05 Nov 2024
Reinforcement Learning for Personalized Drug Discovery and Design for
  Complex Diseases: A Systems Pharmacology Perspective
Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective
Ryan K. Tan
Yang Liu
Lei Xie
49
2
0
21 Jan 2022
1