A benchmark for offline goal-conditioned RL and offline RL

Implementation of reliability-adjusted prioritized experience replay

A curated list of Diffusion Model in RL resources (continually updated)

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Efficient Unitary NN implementation in tensorflow

A minimal PyTorch re-implementation of AlphaFold2's model & training

Python version gridsynth program computes approximations of Z-rotations over the Clifford+T gate set

Decoupled Q-Chunking

Implementation of algorithms for HE381: Quantum Field Theory on a Quantum Computer taught by Prof. Aninda Sinha @ IISc during fall 2025.

eXplainable Quantum Architecture Search

Synthetic Experience Replay

A collection of the the best ML and AI news every week (research, news, resources)

A systematic review of Kolmogorov-Arnold Networks that bridges them with MLPs, highlights their parameter-efficient, interpretable edge-basis design, maps the open-source ecosystem, and offers a pr…

PyTorch implementation of MLP-Mixer: An all-MLP Architecture for Vision

FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Prioritized Generative Replay (ICLR 2025 Oral)

It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.

Official implementation of the BRO algorithm

18 Lessons to Get Started Building AI Agents

A benchmarking framework for training and evaluating RL agents in quantum architecture search tasks.

A curated list of standout libraries, projects, tutorials, influential research papers, and essential resources focused on Quantum Architecture Search (QAS). This collection is designed to serve as…

ICML paper on Shapley Values for Explaining Reinforcement Learning. XRL feature-influence method.

Multi-Agent Reinforcement Learning with JAX

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!

🕹️ A diverse suite of scalable reinforcement learning environments in JAX