yfeng997 / MadMarioLinks
Interactive tutorial to build a learning Mario, for first-time RL learners
☆238Updated 2 years ago
Alternatives and similar repositories for MadMario
Users that are interested in MadMario are comparing it to the libraries listed below
Sorting:
- An OpenAI Gym environment for the Flappy Bird game☆126Updated 3 years ago
- 🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄☆130Updated 2 months ago
- An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES☆784Updated 2 years ago
- Example code for the Gym documentation☆72Updated 2 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆302Updated 2 years ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆696Updated 2 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆235Updated 6 months ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆476Updated last year
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆633Updated 2 weeks ago
- Reinforcement learning tutorials☆386Updated 2 years ago
- Mastering Atari with Discrete World Models☆953Updated 2 years ago
- Pytorch Implementation of MuZero☆353Updated 2 years ago
- An environment of the board game Go using OpenAI's Gym API☆175Updated 3 years ago
- Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch☆138Updated 5 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆346Updated 5 years ago
- Deep Q-Learning (DQN) implementation for Atari pong.☆84Updated 2 years ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆115Updated last year
- This project is implementation code of AlphaStar☆201Updated last year
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆553Updated 2 years ago
- Imitation learning algorithms☆545Updated 4 months ago
- An OpenAI Gym environment for the Flappy Bird game☆82Updated last year
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆100Updated 3 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆335Updated 2 years ago
- Rocket-recycling with Reinforcement Learning☆281Updated 3 years ago
- Code for the paper "Phasic Policy Gradient"☆262Updated 2 years ago
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆813Updated last year
- Level-based Foraging (LBF): A multi-agent environment for RL☆188Updated 10 months ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆182Updated last year
- ☆414Updated 2 years ago