sebastianheinz / super-mario-reinforcement-learningLinks
Double Q-learning reinforcement learning agent on NES Super Mario Bros
☆41Updated 6 years ago
Alternatives and similar repositories for super-mario-reinforcement-learning
Users that are interested in super-mario-reinforcement-learning are comparing it to the libraries listed below
Sorting:
- A simple implementation of MuZero algorithm for connect4 game☆96Updated 5 years ago
- An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.☆73Updated 4 years ago
- Deep Reinforcement learning and Python learn how to play the original Super Mario Bros☆29Updated 7 years ago
- A structured implementation of MuZero☆205Updated 3 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆189Updated last year
- Scalable Implementation of Neural Fictitous Self-Play☆84Updated 6 years ago
- Hands-on Deep Reinforcement Learning, published by Packt☆73Updated 2 years ago
- An environment of the board game Go using OpenAI's Gym API☆175Updated 3 years ago
- Qiita投稿用に作成したAgent57(強化学習)の実装コードです。☆45Updated 2 years ago
- Scalable implementation of DREAM - Deep RL for multi-agent imperfect information games☆119Updated last year
- Coding Demos from the School of AI's Move37 Course☆184Updated 6 years ago
- Vectorized interface for reinforcement learning environments☆141Updated 2 years ago
- Implementation notebooks and scripts of Deep Reinforcement learning Algorithms in PyTorch and TensorFlow.☆23Updated 5 years ago
- Pytorch Implementation of MuZero☆354Updated 2 years ago
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆80Updated 6 years ago
- A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…☆161Updated 4 years ago
- ☆67Updated 3 years ago
- This program evolves an AI using the NEAT algorithm to play Super Mario Bros.☆106Updated 3 years ago
- Deep reinforcement learning model implementation in Tensorflow + OpenAI gym☆302Updated 2 years ago
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packt☆101Updated 2 years ago
- Keras and OpenAI Gym implementation of the Deep Q-learning algorithm to play Atari games.☆49Updated 7 years ago
- Research code implementing the search AI agent for Hanabi, as well as a web server so people can play against it☆128Updated 2 years ago
- The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.☆36Updated 6 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- [Experimental] TensorFlow 2 version of stable-baselines, temporary repository☆45Updated 5 years ago
- PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF…☆33Updated 4 years ago
- Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.☆101Updated 5 years ago
- Gridworld environments for OpenAI gym.☆79Updated last year
- Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"☆204Updated 6 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 5 years ago