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A presentation explaining how Einsum could be understood and implemented.

2 Updated Dec 4, 2024

Official implementation of Reach-Aware Value Estimation (RAVL) from the paper: "The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning."

Python 6 Updated May 22, 2024

The extended AI-Economist which will be compared with the extended Concordia, a generative agent-based model (GABM)

Jupyter Notebook 1 Updated Nov 21, 2024

This repository contains the codebase for the research paper "An Empirical Study of Deep Reinforcement Learning in Continuing Tasks".

Python 3 Updated Nov 23, 2024

This repository contains the implementation of Ground4Act, a two-stage approach for collaborative pushing and grasping in clutter using a visual-language model.

23 Updated Oct 8, 2024

JAX accelerated Quantum Monte Carlo

Python 58 8 Updated Dec 4, 2024

Deep reinforcement learning without experience replay, target networks, or batch updates.

Python 151 11 Updated Nov 30, 2024

Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery

Python 13 2 Updated Jul 11, 2023
Python 8 2 Updated Sep 20, 2024

Minimalistic, hackable PyTorch implementation of SimSiam in ~400 lines. Achieves good performance on ImageNet with ResNet50. Features distributed training, real-time KNN eval, and AMP. Perfect for …

Python 19 3 Updated Nov 25, 2024

Learning grid cells by predictive coding

Python 4 Updated Sep 26, 2024

Goal-Conditioned Reinforcement Learning with JAX

Jupyter Notebook 98 13 Updated Dec 2, 2024

Implementation of Diffusion Transformer (DiT) in JAX

Python 255 4 Updated Jun 11, 2024

Differentiable convex optimization layers

Python 1,835 162 Updated Nov 16, 2024

Pytorch-like dataloaders in JAX.

Jupyter Notebook 63 3 Updated Oct 18, 2024

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

Python 1,023 63 Updated Nov 18, 2024

An Open Large Reasoning Model for Real-World Solutions

Python 1,075 53 Updated Nov 28, 2024
Python 1,979 220 Updated Dec 5, 2024

Multi-agent simulator in Jax for research and teaching in AI & ALife

Jupyter Notebook 11 Updated Dec 4, 2024

Benchmarking Agentic LLM and VLM Reasoning On Games

Python 57 12 Updated Dec 3, 2024

A curated list for awesome discrete diffusion models resources.

164 6 Updated Nov 25, 2024

The Fastest Deep Reinforcement Learning Library

C++ 652 24 Updated Dec 4, 2024

Source code and data for algorithms designed for decentralized anonymous/unlabeled multi-agent pathfinding (AMAPF)

Python 5 Updated Nov 18, 2024

Implementation of DreamerV3 in Pytorch

Python 37 1 Updated Nov 19, 2024

A reinforcement learning package for Julia

Julia 592 112 Updated Oct 18, 2024

JAX reimplementation of the DeepMind paper "Genie: Generative Interactive Environments"

Python 39 4 Updated Nov 27, 2024

Paper collections of the continuous effort start from World Models.

144 6 Updated Jul 6, 2024

Latent Program Network (from the "Searching Latent Program Spaces" paper)

Jupyter Notebook 31 1 Updated Nov 28, 2024

Action Value Gradient Algorithm

Python 15 Updated Nov 28, 2024
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