AlexGoldie
PhD Student in AI/ML at @FLAIROx @oxwhirl under Prof. Jakob Foerster and Prof. Shimon Whiteson.
Oxford UniversityOxford
AlexGoldie's Stars
Mamunia/cv
This resume can be used as LaTeX template for academic purposes or job applications.
AlexGoldie/rl-learned-optimization
Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"
mttga/purejaxql
Simple single-file baselines for Q-Learning in pure-GPU setting
RobertTLange/gymnax
RL Environments in JAX 🌍
jennyzzt/awesome-open-ended
Awesome Open-ended AI
aikorea/awesome-rl
Reinforcement learning resources curated
muupan/deep-reinforcement-learning-papers
A list of papers and resources dedicated to deep reinforcement learning
Allenpandas/Reinforcement-Learning-Papers
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
Michael-Beukman/ReMiDi
Code for the paper Refining Minimax Regret for Unsupervised Environment Design (ICML 2024) https://arxiv.org/abs/2402.12284
MichaelTMatthews/Craftax
(Crafter + NetHack) in JAX. ICML 2024 Spotlight.
DramaCow/jaxued
EmptyJackson/groove
Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design"
Alro10/awesome-deep-neuroevolution
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
FLAIROx/JaxMARL
Multi-Agent Reinforcement Learning with JAX
luchris429/purejaxrl
Really Fast End-to-End Jax RL Implementations
facebookresearch/minimax
Efficient baselines for autocurricula in JAX.
gbaydin/oxford-poster
LaTeX beamer poster template themed for the University of Oxford
RobertTLange/evosax
Evolution Strategies in JAX 🦎
ashawkey/stable-dreamfusion
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
0bserver07/Study-Reinforcement-Learning
Studying Reinforcement Learning Guide
brynhayder/reinforcement_learning_an_introduction
Notes and exercise solutions for second edition of Sutton & Barto's book
LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
dmarx/anthology-of-modern-ml
Collection of important articles to be treated as a textbook
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
daturkel/learning-papers
Landmark Papers in Machine Learning
VGraphRNN/VGRNN
Variational Graph Recurrent Neural Networks - PyTorch
benedekrozemberczki/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
zfjsail/gae-pytorch
Graph Auto-Encoder in PyTorch
tkipf/gae
Implementation of Graph Auto-Encoders in TensorFlow
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