Code for “FlowMM Generating Materials with Riemannian Flow Matching” and "FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions"

Official Implementation of "DeLLMa: Decision Making Under Uncertainty with Large Language Models"

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

A PPO agent leveraging reinforcement learning performs Penetration Testing in a simulated computer network environment. The agent is trained to scan for vulnerabilities in the network and exploit t…

[NeurIPS-2023] Annual Conference on Neural Information Processing Systems

Generate automated tests for your Node.js app via LLMs without developers having to write a single line of code.

A curated list of large language model tools for cybersecurity research.

A fast multithreaded C++ implementation of NLTK BLEU with Python wrapper.

CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks

Reinforcement Learning for Molecular Design Guided by Quantum Mechanics

Benchmarks for Model-Based Optimization

Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting

Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization

A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

Official code repo for paper: Hybrid RL: Using both offline and online data can make RL efficient.

Learning representations for RL in Healthcare under a POMDP assumption

Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)

Real NVP PyTorch a Minimal Working Example | Normalizing Flow

Reverse Engineering Resources About All Platforms(Windows/Linux/macOS/Android/iOS/IoT) And Every Aspect! (More than 3500 open source tools and 2300 posts&videos)

Simple Grid Environment for Gymnasium

Simple Minimalistic Gridworld Environment for OpenAI Gym (Simple-MiniGrid)

Diffusion-Based Approximate Value Functions

Reward Propagation using Graph Convolutional Networks

Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments