zhonghai1995

zhonghai1995's Stars

• gxywy/rl-plotter

  :sparkles: A plotter for reinforcement learning (RL)

  Language:Python20630

• google-deepmind/alphastar

  Language:Python39750

• hijkzzz/Awesome-LLM-Strawberry

  A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

  3.9k213

• histmeisah/Large-Language-Models-play-StarCraftII

  TextStarCraft2,a pure language env which support llms play starcraft2

  Language:Python19212

• Michael-Beukman/RobocupGym

  Reinforcement Learning inside a 3D soccer simulation

  Language:Python19

• tinkoff-ai/CORL

  High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

  Language:Python1.1k124

• cor3bit/bertsekas-marl

  PyTorch Implementation of the Sequential Multiagent Rollout algorithm

  Language:Python102

• corl-team/xland-minigrid

  JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️

  Language:Python18915

• proroklab/VectorizedMultiAgentSimulator

  VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

  Language:Python31768

• Farama-Foundation/Metaworld

  Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

  Language:Python1.2k269

• Haichao-Zhang/PEX

  Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)

  Language:Python435

• PKU-MARL/DexterousHands

  This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym

  Language:Python62774

• shariqiqbal2810/maddpg-pytorch

  PyTorch Implementation of MADDPG (Lowe et. al. 2017)

  Language:Python555127

• twni2016/pomdp-baselines

  Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022

  Language:Python29641

• ikostrikov/rlpd

  Language:Python20424

• vitchyr/viskit

  rllab's viskit with some added features

  Language:Python7335

• google-deepmind/distrax

  Language:Python53032

• my-yy/s2v_rc

  Speech2Vec Reality Check

  Language:Python753

• RLE-Foundation/rllte

  Long-Term Evolution Project of Reinforcement Learning

  Language:Python46584

• shadps4-emu/shadPS4

  PS4 emulator for Windows,Linux,MacOS

  Language:C++9.7k543

• google-deepmind/optax

  Optax is a gradient processing and optimization library for JAX.

  Language:Python1.6k180

• google/flax

  Flax is a neural network library for JAX that is designed for flexibility.

  Language:Python6k631

• minitorch/minitorch

  The full minitorch student suite.

  Language:Python1.9k363

• facebookresearch/Pearl

  A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

  Language:Jupyter Notebook2.6k156

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  29k1.6k

• jayeshs999/sapg

  Code for SAPG: Split and Aggregate Policy Gradients (ICML 2024)

  Language:Jupyter Notebook372

• Emerge-Lab/gpudrive

  GPU-acceleration of Nocturne via Madrona

  Language:Jupyter Notebook19617

• mantle2048/rlplot

  rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").

  Language:Python263

• google-research/rliable

  [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

  Language:Jupyter Notebook75146

• denisyarats/drq

  DrQ: Data regularized Q

  Language:Jupyter Notebook40252