linhlpv

linhlpv's Stars

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++31.6k4792.5k3.7k

• TJU-DRL-LAB/AI-Optimizer

  The next generation deep reinforcement learning tookit

  Language:Python4.8k7684901

• opendilab/DI-engine

  OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

  Language:Python3.1k22205376

• Replicable-MARL/MARLlib

  One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

  Language:Python93811155152

• jannerm/diffuser

  Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

  Language:Python8931262141

• roboterax/humanoid-gym

  Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695

  Language:Python8411634139

• instadeepai/Mava

  🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

  Language:Python7381645190

• google-research/batch_rl

  Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games

  Language:Python536133875

• uoe-agents/epymarl

  An extension of the PyMARL codebase that includes additional algorithms and environment support

  Language:Python517759140

• CleanDiffuserTeam/CleanDiffuser

  CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making

  Language:Jupyter Notebook39121637

• RLE-Foundation/RLeXplore

  RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).

  Language:Jupyter Notebook36732115

• dfm/tinygp

  The tiniest of Gaussian Process libraries

  Language:Python29797124

• google-deepmind/kfac-jax

  Second Order Optimization and Curvature Estimation with K-FAC in JAX.

  Language:Python250111723

• UMass-Foundation-Model/Co-LLM-Agents

  [ICLR 2024] Source codes for the paper "Building Cooperative Embodied Agents Modularly with Large Language Models"

  Language:Python22642634

• wyhuai/SkillMimic

  Official code release for the paper "SkillMimic: Learning Reusable Basketball Skills from Demonstrations"

  Language:Python1812512

• watchernyu/REDQ

  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.

  Language:Python1535718

• MichalBortkiewicz/JaxGCRL

  Goal-Conditioned Reinforcement Learning with JAX

  Language:Jupyter Notebook951013

• opendilab/GenerativeRL

  Python library for solving reinforcement learning (RL) problems using generative models (e.g. Diffusion Models).

  Language:Python89307

• seohongpark/ogbench

  OGBench: Benchmarking Offline Goal-Conditioned RL

  Language:Python85206

• podondra/gym-gridworlds

  Gridworld environments for OpenAI gym.

  Language:Python801419

• conglu1997/SynthER

  Synthetic Experience Replay

  Language:Python74339

• SonyResearch/simba

  Language:Jupyter Notebook56114

• mohmdelsayed/streaming-drl

  Deep reinforcement learning without experience replay, target networks, or batch updates.

  Language:Python504

• ScalerLab/JudgeBench

  Language:Python46122

• uoe-agents/derl

  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)

  Language:Python26314

• facebookresearch/gwil

  Cross-Domain Imitation Learning via Optimal Transport

  Language:Python2341

• YangRui2015/Generalizable-Reward-Model

  Code for NeurIPS 2024 paper "Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs" (under preparation)

  Language:Python141

• LXXXXR/Kaleidoscope

  [NeurIPS' 24] The PyTorch implementation of our paper: "Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning".

  Language:Python90

• zzmtsvv/sac_rnd

  Language:Python5120

• mhngu23/Intrinsic-Reward-Motivati-Reinforcement-Learning-Re-Implementation

  Language:Jupyter Notebook1