LoganZhao1997's Stars
coverdrive/MDP-DP-RL
Markov Decision Processes, Dynamic Programming and Reinforcement Learning
microsoft/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
aitechtools/SunFlow
A Python library to design & optimize Supply Chains
ikatsov/tensor-house
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
ikostrikov/pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
oxwhirl/pymarl
Python Multi-Agent Reinforcement Learning framework
manluow/ev-simulator
starry-sky6688/MARL-Algorithms
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
Replicable-MARL/MARLlib
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
LantaoYu/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
wouterkool/attention-learn-to-route
Attention based model for learning to solve different routing problems