mttga

mttga's Stars

• naumix/BiggerRegularizedOptimistic

  Official implementation of the BRO algorithm

  Language:Python51

• mttga/purejaxql

  Simple single-file baselines for Q-Learning in pure-GPU setting

  Language:Python843

• keraJLi/rejax

  Language:Python1304

• MichaelTMatthews/Craftax_Baselines

  Language:Python141

• DustinCraggs/JaxMARL

  Multi-Agent Reinforcement Learning with JAX

  1

• MichaelTMatthews/Craftax

  (Crafter + NetHack) in JAX. ICML 2024 Spotlight.

  Language:Python18816

• BartoszJarocki/cv

  Print-friendly, minimalist CV page

  Language:TypeScript8.8k941

• FLAIROx/JaxMARL

  Multi-Agent Reinforcement Learning with JAX

  Language:Python39268

• instadeepai/marl-eval

  A tool for aggregating and plotting MARL experiment data.

  Language:Python576

• mttga/stable_diffusion_fastapi_docker

  This repo embeddes a FastAPI API for generating images using Stable Diffusion in a Docker image.

  Language:Jupyter Notebook6

• hr0nix/dejax

  Accelerated replay buffers in JAX

  Language:Python394

• rohit1607/Planning_with_transformers

  Using transformers to learn optimal policies for autonomous navigation vehicles in stochastic dynamic environments. Accepted AAMAS 23

  Language:Jupyter Notebook22

• mttga/pymarl_transformers

  Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems (AAMAS 2023)

  Language:Python356

• mttga/ros_gz

  Integration between ROS (1 and 2) and Gazebo simulation

  Language:C++1

• srmainwaring/gz-python

  Python bindings for gz-msgs and gz-transport

  Language:Python171

• osrf/lrauv

  Packages for simulating the Tethys-class Long-Range AUV (LRAUV) from the Monterey Bay Aquarium Research Institute (MBARI).

  Language:C++5813

• uoe-agents/epymarl

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

  Language:Python459134

• mttga/FastDensityPeak

  Numpy highly optimized implementation of Clustering by fast search and find of density peaks (2014)

  Language:Jupyter Notebook6

• imasmitja/RLforUTracking

  Deep Reinforcement Learning (RL) algorithms for underwater target tracking with Autonomous Underwater Vehicles (AUV)

  Language:Python679

• happy-jihye/Cartoon-StyleGAN

  Fine-tuning StyleGAN2 for Cartoon Face Generation

  Language:Jupyter Notebook632119

• TimotheeMickus/codwoe

  The CODWOE shared task invites you to compare two types of semantic descriptions: dictionary glosses and word embedding representations. Are these two types of representation equivalent? Can we generate one from the other?

  Language:Python119

• marcros/football-transfers

  Language:Jupyter Notebook1

• fuzhenxin/Style-Transfer-in-Text

  Paper List for Style Transfer in Text

  1.6k194