Stars
Code release for "Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning" (NeurIPS 2023), https://arxiv.org/abs/2305.18499
Official code of the paper "Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts" at ICLR2024
Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"
✔(已完结)最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
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Official Implementation of "Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models"
Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
Implementation of the new SOTA for model based RL, from the paper "Improving Transformer World Models for Data-Efficient RL", in Pytorch
Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.
SC-Levi / mamba
Forked from jbr-ai-labs/mambaThis code accompanies the paper "Scalable Multi-Agent Model-Based Reinforcement Learning".
Code accompanying paper "Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning".
A curated list of Decision Transformer resources (continually updated)
Llama中文社区,实时汇总最新Llama学习资料,构建最好的中文Llama大模型开源生态,完全开源可商用
✨✨Latest Papers and Benchmarks in Reasoning with Foundation Models
CS231课程笔记翻译 https://zhuanlan.zhihu.com/intelligentunit
清华大学计算机系考研攻略 Guidance for postgraduate entrance examination in Department of Computer Science and Technology, Tsinghua University
🇨🇳🇨🇳🇨🇳这个repo是为了那些准备死磕 计算机考研 4️⃣0️⃣8️⃣的考研党准备的,当然你如果4门课中的部分也可以看看,欢迎star📝📝📝,祝你们一战成硕🏆🏆🏆~~(更新23年大纲变化----2023年408和数学基本无变化)
清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University
Barbershop: GAN-based Image Compositing using Segmentation Masks (SIGGRAPH Asia 2021)
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.