reinforcement-learning

A collection of recent papers on building autonomous agent. Two topics included: RL-based / LLM-based agents.

Multi-objective Gymnasium environments for reinforcement learning

Reinforcement Learning for real-time applications

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.

Long-RL: Scaling RL to Long Sequences (NeurIPS 2025)

Accompanying code for "Discovering State-of-the-art Reinforcement Algorithms" Nature publication

Implementations of Reinforcement Learning and Planning algorithms

A curated list of awesome exploration RL resources (continually updated)

Poker engine for poker AI development in Python

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.

[COLM’25] DeepRetrieval — 🔥 Training Search Agent by RLVR with Retrieval Outcome

A curated list of Monte Carlo tree search papers with implementations.

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

Reinforcement Learning with Model Predictive Control

Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

A most Frontend Collection and survey of vision-language model papers, and models GitHub repository. Continuous updates.

ns3-gym - The Playground for Reinforcement Learning in Networking Research

A unified framework for easy fine-tuning in Flow-Matching models

Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

Hearthstone simulator using C++ with some reinforcement learning

A C++ framework for MDPs and POMDPs with Python bindings

BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.

A PyTorch library for building deep reinforcement learning agents.

Complete-Life-Cycle-of-a-Data-Science-Project

A reinforcement learning package for Julia

Latest Advances on Long Chain-of-Thought Reasoning

♟️ Vectorized RL game environments in JAX

Project Page For "Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement"