A version of verl to support diverse tool use
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Updated
Mar 2, 2026 - Python
A version of verl to support diverse tool use
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Repository of implementations of classic and sota rl algorithms from scratch in PyTorch
Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning
A PyTorch Library for Reinforcement Learning Research
Solvers for NP-hard and NP-complete problems with an emphasis on high-performance GPU computing.
🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄
Reinforcement learning models in ViZDoom environment
Gym environments and agents for autonomous driving.
Energym is an open source building simulation library designed to test climate control and energy management strategies on buildings in a systematic and reproducible way.
source code for 'Improving automatic source code summarization via deep reinforcement learning'
Autonomous Drone for Object Tracking
Reinforcement Workbench for FreeCAD
Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)
Lane keeping assistant using Reinforcement learning
SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all baselines (PPO, classifier-based guidance, direct reward backpropagation) for fine-tuning Stable Diffusion.
Tempo is a system for declarative, efficient, end-to-end compiled dynamic deep learning
Sidekick Policy Learning for Active Visual Exploration (ECCV 2018)
Worksheet and Utilities for AWS DeepRacer – one of the most exciting ways of building strong skills in reinforcement learning and through a hands-on approach. This repository offers: 1) Functionally-rich and flexible reward function 2) Utilities with Jupiter notes for Racing Line calculation and visualisation of track 3) Scripts to parse RoboMak…
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