⛰ A professional, modular reinforcement learning implementation that solves the classic MountainCar-v0 environment from OpenAI Gymnasium using Q-Learning algorithm.
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Updated
Dec 17, 2025 - Python
⛰ A professional, modular reinforcement learning implementation that solves the classic MountainCar-v0 environment from OpenAI Gymnasium using Q-Learning algorithm.
🎮 Train a Deep Q-Learning agent using TensorFlow to master Atari Breakout with efficient experience replay and modular architecture for easy customization.
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Reinforcement Learning Environment with Gymnasium API
StalkerDroneRL - ROS 2 + Gazebo + Gymnasium + Stable Baselines3
Turned based strategy game with the goal of developing reinforcement learning algorithms
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, Brax and other environments
Enables you to convert a PettingZoo environment to a Gym environment while supporting multiple agents (MARL). Gym's default setup doesn't easily support multi-agent environments, but this wrapper resolves that by running each agent in its own process and sharing the environment across those processes.
Retro games for Reinforcement Learning
A framework for modeling non-stationary Markov decision processes and the key decision making problems in these environments
A Reinforcement Learning agent in Diablo environment
Multi-drone PX4/ArduPilot ROS2 control of quads and VTOLs, with YOLO, LiDAR, Dockerized Gym simulation, and JetPack deployment
A collection of robotics simulation environments for reinforcement learning
Go implementation of OpenAI's Gym.
Causal RL Algortihms
Here, I implement Deep Q-Learning (DQN) to train agents on various Gym environments. The project explores reinforcement learning techniques, focusing on value-based learning to solve a wide range of tasks.
Gymnasium-based Sudoku environment for reinforcement learning research/experiments
Code for Edreate's Deep Reinforcement Learning Course: https://edreate.com/courses/deep-reinforcement-learning/
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