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:
- An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.☆73Updated 4 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆191Updated last year
- A structured implementation of MuZero☆205Updated 3 years ago
- Deep Reinforcement learning and Python learn how to play the original Super Mario Bros☆29Updated 7 years ago
- A simple implementation of MuZero algorithm for connect4 game☆96Updated 5 years ago
- Scalable Implementation of Neural Fictitous Self-Play☆83Updated 6 years ago
- Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"☆206Updated 6 years ago
- Vectorized interface for reinforcement learning environments☆143Updated 2 years ago
- An environment of the board game Go using OpenAI's Gym API☆175Updated 3 years ago
- Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"☆34Updated 6 years ago
- Source code for OpenAI Retro Contest for Sonic the Hedgehog☆31Updated 7 years ago
- Hands-on Deep Reinforcement Learning, published by Packt☆74Updated 2 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆206Updated 5 years ago
- A PyTorch implementation of SEED, originally created by Google Research for TensorFlow 2.☆14Updated 4 years ago
- PyTorch Implementation of DQN and training Super Mario Bros☆25Updated 7 years ago
- PyTorch AlphaZero implementation with multiplayer support [NeurIPS 2019 Deep Reinforcement Learning Workshop]☆33Updated 4 years ago
- Gridworld environments for OpenAI gym.☆79Updated last year
- TensorFlow implementation of asynchronous advantage actor-critic (A3C)☆38Updated 4 years ago
- This program evolves an AI using the NEAT algorithm to play Super Mario Bros.☆106Updated 3 years ago
- [Experimental] TensorFlow 2 version of stable-baselines, temporary repository☆45Updated 5 years ago
- Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"☆310Updated 2 years ago
- Coding Demos from the School of AI's Move37 Course☆183Updated 6 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
- ☆71Updated 2 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- OpenAI Gym wrapper for ViZDoom enviroments☆70Updated 4 years ago
- Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning☆102Updated 3 years ago
- A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…☆164Updated 4 years ago
- Hands-On Reinforcement Learning for Games, published by Packt☆60Updated 2 years ago
- StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)☆138Updated 7 years ago