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

This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"

Papers from the computer science community to read and discuss.

A first-of-its-kind acoustic simulation platform for audio-visual embodied AI research. It supports training and evaluating multiple tasks and applications.

multi-agent deep reinforcement learning for networked system control.

Time series forecasting with PyTorch

sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinforcement learning) in the context of quantitative trading

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

A framework for training and evaluating deep learning models in Quantitative trading domain

Image-to-Image Translation in PyTorch