A paper list of my history reading. Robotics, Learning, Vision.
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Updated
May 30, 2024
A paper list of my history reading. Robotics, Learning, Vision.
Repository for "Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics" (ICML 2024).
⛰ Reinforcement learning model trying to make car reach to top of mountain
Papers, codes, datasets, applications, tutorials.
A Program to digitalize twisty puzzles, save algorithms as well as solving strategies for them and solve them with an AI based on Q-Learning with Neural Networks.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Building robots is like cooking delicacies. Machine learning spreads fancinating smell. Control theory provides excellent flavor.
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
OpenDILab Decision AI Engine
Python library for solving reinforcement learning (RL) problems using generative models.
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Hearthstone simulator using C++ with some reinforcement learning
Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
NAACL '24 (Demo) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
♟️ chess engine under development
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