8+ Reinforcement Learning Project Ideas

This page summarizes the projects mentioned and recommended in the original post on dev.to
#reinforcement-learning #deep-reinforcement-learning #Simulator #AI #autonomous-vehicles

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  • gym

    A toolkit for developing and comparing reinforcement learning algorithms.

    OpenAI Gym has become the de facto standard for reinforcement learning frameworks among researchers and practitioners. Solving toy problems from the gym library will help familiarize you with this popular framework. Good starting points include Cartpole, Lunar Lander and Taxi.

  • Bullet

    Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

    Gym provides a library of continuous physics simulations in the form of its MuJoCo environments. Since MuJoCo requires a paid license, I recommend checking out PyBullet as a free open-source alternative. Using PyBullet/MuJoCo, you can teach a variety of robots to walk, run, or swim.

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  • ml-agents

    The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

    Unity ML-Agents is a relatively new add-on to the Unity game engine. It allows game developers to train intelligent NPCs for games and enables researchers to create graphics- and physics-rich RL environments. Project ideas to explore include:

  • AirSim

    Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

    AirSim

  • carla

    Open-source simulator for autonomous driving research.

    CARLA

  • open_spiel

    OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

    8. Build a Chess Bot with OpenSpiel

  • tensortrade

    An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

    Predict stock prices with TensorTrade

  • Sonar

    Write Clean C++ Code. Always.. Sonar helps you commit clean C++ code every time. With over 550 unique rules to find C++ bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

  • rlcard

    Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

    Build a Poker bot with RLCard

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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