reinforcement-learning

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning & ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning

Concise and beautiful algorithms written in Julia

A curated list of awesome model based RL resources (continually updated)

RL implementations

A programmable and highly maneuverable robotic cat for STEM education and AI-enhanced services.

SMAC: The StarCraft Multi-Agent Challenge

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

The living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities

Paper reading notes on Deep Learning and Machine Learning

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

RL research on Android devices.

Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.

Training a humanoid robot for locomotion using Reinforcement Learning

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

Computational framework for reinforcement learning in traffic control

[ECCV 2026] MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE

Evaluate and improve models and agents using environments

Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)

JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

Scalable Multi-Agent RL Training School for Autonomous Driving

:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list

A Python-based lightweight robot simulator designed for navigation, control, and learning

Adversarial skill embeddings for training reusable controllers for physically simulated characters.

[ICLR 2026] Agentic Reinforced Policy Optimization (ARPO)

We introduce the Audio Logical Reasoning (ALR) dataset, consisting of 6,446 text-audio annotated samples specifically designed for complex reasoning tasks. Building on this resource, we propose SoundMind, a rule-based reinforcement learning (RL) algorithm tailored to endow audio language models (ALMs) with deep bimodal reasoning abilities.