Hello WoRLd! ✋ This is first version of JORLDY, which is open-source Reinforcement Learning (RL) framework provided by KakaoEnterprise! We expect that JORLDY helps researchers and students who study RL. The features of JORLDY are as follows ⭐.

• 20+ RL Algorithms and various RL environment are provided
• Algorithms and environment can be added and customized
• The running of RL algorithm and environment is conducted using single command
• Distributed RL algorithms are provided using ray
• Benchmark of the algorithms is conducted in many RL environment

🤖 The implemented algorithms are as follows:

• Deep Q Network (DQN), Double DQN, Dueling DQN, Multistep DQN, Prioritized Experience Replay (PER), C51, Noisy Network, Rainbow (DQN, IQN), QR-DQN, IQN, Curiosity Driven Exploration (ICM), Random Network Distillation (RND), APE-X, REINFORCE, DDPG, PPO, SAC, MPO, V-MPO

🌎 The provided environments are as follows

• GYM classic control, Unity ML-Agents, Procgen,
  • GYM Atari and Super Mario Bros are excluded from the requirement because of the license issue. You should install these environments manually.