A list of AI autonomous agents

⚡ Building applications with LLMs through composability ⚡

Enjoy our curated collection of examples and solutions. Use these patterns to build your own robust and scalable applications.

Use AI to refactor code

Library for Model Based RL

pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support

Python 3.6+ toolbox for submitting jobs to Slurm

Mastering Atari with Discrete World Models

This repository contains implementations and illustrative code to accompany DeepMind publications

Implicit^2: Implicit model for implicit neural representations

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

[NeurIPS'19] Deep Equilibrium Models

Contrastive Learning of Structured World Models

Google Research

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks

pytorch-implementation of Dreamer (Model-based Image RL Algorithm)

The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

Dream to Control: Learning Behaviors by Latent Imagination