AlexGoldie

AlexGoldie's Stars

• Mamunia/cv

  This resume can be used as LaTeX template for academic purposes or job applications.

  Language:TeX2511

• AlexGoldie/rl-learned-optimization

  Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"

  Language:Python10

• mttga/purejaxql

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

  Language:Python843

• RobertTLange/gymnax

  RL Environments in JAX 🌍

  Language:Python59757

• jennyzzt/awesome-open-ended

  Awesome Open-ended AI

  16618

• aikorea/awesome-rl

  Reinforcement learning resources curated

  8.8k1.8k

• muupan/deep-reinforcement-learning-papers

  A list of papers and resources dedicated to deep reinforcement learning

  833187

• Allenpandas/Reinforcement-Learning-Papers

  📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.

  28732

• Michael-Beukman/ReMiDi

  Code for the paper Refining Minimax Regret for Unsupervised Environment Design (ICML 2024) https://arxiv.org/abs/2402.12284

  Language:Python52

• MichaelTMatthews/Craftax

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

  Language:Python18716

• DramaCow/jaxued

  Language:Python567

• EmptyJackson/groove

  Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design"

  Language:Python224

• Alro10/awesome-deep-neuroevolution

  A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

  21835

• FLAIROx/JaxMARL

  Multi-Agent Reinforcement Learning with JAX

  Language:Python38768

• luchris429/purejaxrl

  Really Fast End-to-End Jax RL Implementations

  Language:Python66955

• facebookresearch/minimax

  Efficient baselines for autocurricula in JAX.

  Language:Python16514

• gbaydin/oxford-poster

  LaTeX beamer poster template themed for the University of Oxford

  Language:TeX6541

• RobertTLange/evosax

  Evolution Strategies in JAX 🦎

  Language:Python47544

• ashawkey/stable-dreamfusion

  Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

  Language:Python8.1k717

• 0bserver07/Study-Reinforcement-Learning

  Studying Reinforcement Learning Guide

  15036

• brynhayder/reinforcement_learning_an_introduction

  Notes and exercise solutions for second edition of Sutton & Barto's book

  Language:TeX34472

• LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

  Solutions of Reinforcement Learning, An Introduction

  Language:Jupyter Notebook1.9k456

• dmarx/anthology-of-modern-ml

  Collection of important articles to be treated as a textbook

  Language:Jupyter Notebook54929

• floodsung/Deep-Learning-Papers-Reading-Roadmap

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  Language:Python37.9k7.3k

• daturkel/learning-papers

  Landmark Papers in Machine Learning

  52338

• VGraphRNN/VGRNN

  Variational Graph Recurrent Neural Networks - PyTorch

  Language:Python11132

• benedekrozemberczki/pytorch_geometric_temporal

  PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

  Language:Python2.6k367

• zfjsail/gae-pytorch

  Graph Auto-Encoder in PyTorch

  Language:Python40777

• tkipf/gae

  Implementation of Graph Auto-Encoders in TensorFlow

  Language:Python1.6k352

• deezer/gravity_graph_autoencoders

  Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hennequin, V.A. Tran and M. Vazirgiannis

  Language:Python4410