A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

Modular reinforcement learning framework for algorithmic trading

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

Highly Modular and Scalable Reinforcement Learning

Language models for drug discovery using torchrl

BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO

RouteRL is a multi-agent reinforcement learning framework for modeling and simulating the collective route choices of humans and autonomous vehicles.

AgentHive provides the primitives and helpers for a seamless usage of robohive within TorchRL.

Codebase to fully reproduce the results of "No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO" (Moalla et al. 2024). Uses TorchRL and provides extensive tools for studying representation dynamics in policy optimization.

This project is a pipeline that connects a Matlab simulation (Simulink) to an OpenAI Gym wrapper for PyTorch Reinforcement Learning using the DQN algorithm.

TorchRL is a C++ reinforcement library using PyTorch C++ backend LibTorch

Training examples using TorchRL repo

This is a proof of concept on how MCTS can be implemented on top of TorchRL

Trying out torchrl

Experimenting with integrating PyTorch Lightning + TorchRL for differentiable environments running on multiple GPUs

Multi-Agent Reinforcement Learning for Level-Based Foraging Using TorchRL.

This repo contains utility and examples of solving reinforcement learning scenarios from unity mlagents with TorchRL.

A Java implementation of the Fellegi-Sunter algorithm for record linkage

Reinforcement Learning framework for easy experimentation

Reinforcement learning + ML tools for Roblox.

MARL research project, where agents collaboratively self-organize inside dynamically generated geometric patterns.

A highly modular and extensible PyTorch-based reinforcement learning library.

MARL research project in which rescuer and rescuee agents collaborate to navigate and succeed in complex, obstacle-rich environments.

tutorials for torch RL

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Easy Trainer for Deep Reinforcement Learning algorithms based on PyTorch.

Code following TorchRL MAPPO Tutorial

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Small prototype to show RoboHive usage with TorchRL for visual deep reinforcement learning

Small prototype to show RLBench usage with TorchRL