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vqnerf_release. Codes for VQ-NeRF: Neural Reflectance Decomposition and Editing with Vector Quantization
★ 4MultiView_Inpaint. Code Releasement for 'Generative Object Insertion in Gaussian Splatting with a Multi-View Diffusion Model'
★ 15mujoco-pg. PyTorch implementation of Vanilla PG, TNPG, TRPO, PPO on Mujoco environment
★ 4tutorials. 机器学习相关教程
★ 4reinforcement-learning-an-introduction. Python Implementation of Reinforcement Learning: An Introduction
★ 4Reinforcement-learning-with-tensorflow. Simple Reinforcement learning tutorials
★ 4Policy-Hill-Climbing--PHC-. 强化学习PHC算法实现
★ 4pg_travel. Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)
★ 5pysc2. StarCraft II Learning Environment
★ 5StarCraft. Implementations of QMIX, VDN, COMA, QTRAN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
★ 5SVN-File-System. The addition, deletion, modification, viewing of files and version control
★ 6Awesome-Reinforcement-Learning-Papers. 📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, AAAI, IJCAI, ICML, AAMAS, ICLR, ICRA, etc. | (AI顶会已录用的强化学习方向文章,持续更新)
★ 11S2L. Implementation of the paper "Multi-Agent Exploration via Self-Learning and Social Learning"
★ 20DCVTD. Implementation of the paper "Decentralized Counterfactual Value with Threat Detection for Multi-Agent Reinforcement Learning in Mixed Cooperative and Competitive Environments"
★ 17LLM-Agent-Paper-List. The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
★ 12WToE. Implementation of the paper "WToE: Learning When to Explore in Multi-Agent Reinforcement Learning"
★ 21D-F. Implementation of the paper "Egoism, Utilitarianism and Egalitarianism in Multi-Agent Reinforcement Learning"
★ 21llm-course. Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
★ 81kLLMSurvey. The official GitHub page for the survey paper "A Survey of Large Language Models".
★ 12kawesome-3DGS. 3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities
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