Iβm interested probabilistic generative modeling, inference, and reinforcement learning. also their mathmatical property, with a focus on applying these methodologies to AI4Science, AI for Safety
π§ Email: whgdk0911@gmail.com
Iβm interested probabilistic generative modeling, inference, and reinforcement learning. also their mathmatical property, with a focus on applying these methodologies to AI4Science, AI for Safety
π§ Email: whgdk0911@gmail.com
π Morning 45 commits βββββββββββββββββββββ 31.9%
π Daytime 38 commits βββββββββββββββββββββ 27.0%
π Evening 50 commits βββββββββββββββββββββ 35.5%
π Night 8 commits βββββββββββββββββββββ 5.7%
Forked from ai4co/rl4co
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
Python
Forked from zdhNarsil/Awesome-GFlowNets
A curated list of resources about generative flow networks (GFlowNets).
Forked from dongjinkun/COPZoo
Neural Network for solving challenging Combinatorial Optimization Problems
Python
Forked from Thinklab-SJTU/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
Python