Topic: rl Goto Github
Some thing interesting about rl
Some thing interesting about rl
rl,gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
Organization: acutronicrobotics
Home Page: https://acutronicrobotics.com
rl,ROS 2 enabled Machine Learning algorithms
Organization: acutronicrobotics
Home Page: https://acutronicrobotics.com
rl,A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
User: araffin
Home Page: https://stable-baselines.readthedocs.io/
rl,Stable-Baselines tutorial for Journรฉes Nationales de la Recherche en Robotique 2019
User: araffin
rl,A curated list of applied machine learning and data science notebooks and libraries across different industries.
User: ashishpatel26
rl,The current BakkesModSDK (Unofficial SDK for Rocket League)
Organization: bakkesmodorg
Home Page: http://bakkesmod.com
rl,A curated list of Monte Carlo tree search papers with implementations.
User: benedekrozemberczki
rl,Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
User: bentrevett
rl,PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
User: chenglongchen
rl,DrQ: Data regularized Q
User: denisyarats
Home Page: https://sites.google.com/view/data-regularized-q
rl,An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"
User: dhruvramani
rl,A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Organization: dlr-rm
Home Page: https://rl-baselines3-zoo.readthedocs.io
rl,:zap: :zap: ๐๐ฆ๐ฆ๐ฑ ๐๐ ๐๐ญ๐จ๐ฐ๐ต๐ณ๐ข๐ฅ๐ช๐ฏ๐จ ๐ธ๐ช๐ต๐ฉ ๐๐ข๐บ ๐๐๐
User: draichi
Home Page: https://ray.readthedocs.io/en/latest/index.html
rl,A collection of MARL benchmarks based on TorchRL
Organization: facebookresearch
Home Page: https://benchmarl.readthedocs.io/
rl,Reinforcement learning theory book about foundations of deep RL algorithms with proofs.
User: fortsandmills
rl,Spriteworld: a flexible, configurable python-based reinforcement learning environment
Organization: google-deepmind
rl,[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
Organization: google-research
Home Page: https://agarwl.github.io/rliable
rl,SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
Organization: google-research
rl,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Organization: google
Home Page: https://github.com/google/dopamine
rl,AI research environment for the Atari 2600 games ๐ค.
User: gsurma
Home Page: https://gsurma.github.io
rl,โก Flashbax: Accelerated Replay Buffers in JAX
Organization: instadeepai
Home Page: https://instadeepai.github.io/flashbax/
rl,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Organization: intellabs
Home Page: https://intellabs.github.io/coach/
rl,An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
User: junxiaosong
rl,A PyTorch Library for Reinforcement Learning Research
Organization: learnables
Home Page: http://cherry-rl.net
rl,Multi-Objective Reinforcement Learning algorithms implementations.
User: lucasalegre
Home Page: https://lucasalegre.github.io/morl-baselines
rl,Implementation of papers in 100 lines of code.
User: maximevandegar
rl,Video Diffusion Alignment via Reward Gradients. We improve a variety of video diffusion models such as VideoCrafter, OpenSora, ModelScope and StableVideoDiffusion by finetuning them using various reward models such as HPS, PickScore, VideoMAE, VJEPA, YOLO, Aesthetics etc.
User: mihirp1998
Home Page: https://vader-vid.github.io/
rl,Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
User: minqi
rl,RAD: Reinforcement Learning with Augmented Data
User: mishalaskin
rl,Python library for Reinforcement Learning.
Organization: mushroomrl
rl,๐ The experiment tracker for foundation model training
Organization: neptune-ai
Home Page: https://neptune.ai
rl,่ฟๅฐ็ญนๅ ฌไผๅทๆฏ่ดๅไบๅไบซ่ฟ็ญนไผๅ(LPใMIPใNLPใ้ๆบ่งๅใ้ฒๆฃไผๅ)ใๅธไผๅใๅผบๅๅญฆไน ็ญ็ ็ฉถ้ขๅ็ๅ ๅฎนไปฅๅๆถๅๅฐ็็ฎๆณ็ไปฃ็ ๅฎ็ฐใ
Organization: olittlerer
rl,[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
User: pathak22
rl,AI Research Platform for Reinforcement Learning from Real Panoramic Images.
User: peteanderson80
rl,[NeurIPS 2022] ๐WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
Organization: princeton-nlp
Home Page: https://webshop-pnlp.github.io
rl,ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation
Organization: pytorch
rl,A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Organization: pytorch
Home Page: https://pytorch.org/rl
rl,Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Organization: stable-baselines-team
Home Page: https://github.com/hill-a/stable-baselines
rl,Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
Organization: stable-baselines-team
Home Page: https://sb3-contrib.readthedocs.io
rl,An elegant PyTorch deep reinforcement learning library.
Organization: thu-ml
Home Page: https://tianshou.org
rl,Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
User: toni-sm
Home Page: https://skrl.readthedocs.io/
rl,A fast, safe and easy to use reinforcement learning framework in Rust.
User: tspooner
Home Page: https://crates.io/crates/rsrl
rl,An environment to high-frequency trading agents under reinforcement learning
User: ucaiado
rl,Baba Is You simulator using C++ with some reinforcement learning
User: utilforever
rl,Hearthstone simulator using C++ with some reinforcement learning
User: utilforever
Home Page: https://utilforever.github.io/RosettaStone/
rl,Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
User: weichengtseng
rl,A universal flight control tuning framework
User: wil3
Home Page: http://wfk.io/neuroflight/
rl,Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
User: yrlu
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