wenkesj / marioLinks
Super Mario Reinforcement Learning from Demonstration
☆25Updated 7 years ago
Alternatives and similar repositories for mario
Users that are interested in mario are comparing it to the libraries listed below
Sorting:
- An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.☆72Updated 4 years ago
- Deep Reinforcement learning and Python learn how to play the original Super Mario Bros☆29Updated 6 years ago
- Reinforcement Learning for Super Mario Bros using A3C on GPU☆37Updated 7 years ago
- implement the classic reinforcement learning algorithm DQN to play supermariobrother☆15Updated 7 years ago
- Reinforcement Learning in Keras on VizDoom☆143Updated 7 years ago
- Double Q-learning reinforcement learning agent on NES Super Mario Bros☆40Updated 6 years ago
- Gym - 32 levels of original Super Mario Bros☆289Updated 6 years ago
- An `openai/atari-py` fork with Windows support and removed zlib/libpng dependencies. Binaries (wheels) are on "Releases" tab.☆183Updated 3 years ago
- Board game AI implementations using Monte Carlo Tree Search☆184Updated 5 years ago
- Simplest Version of playing Atari with Deep Q Learning in Tensorflow☆158Updated 7 years ago
- PyTorch Implementation of DQN and training Super Mario Bros☆25Updated 6 years ago
- C51-DDQN in Keras☆126Updated 7 years ago
- Reinforcement Learning using Policy Gradient to solve OpenAI Gym games☆113Updated 7 years ago
- A student implementation of Alpha Go Zero☆280Updated 7 years ago
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆79Updated 6 years ago
- A Deep Q Network used for running experiments on reinforcement learning agents targeted at learning Super Mario Bros (NES)☆10Updated 7 years ago
- A Tetris environment to train machine learning agents☆69Updated last year
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆187Updated 10 months ago
- This is the code for "Actor Critic Algorithms" by Siraj Raval on Youtube☆75Updated 7 years ago
- Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras☆160Updated 5 years ago
- TensorFlow implementation of asynchronous advantage actor-critic (A3C)☆39Updated 3 years ago
- Accompanying repository for Let's make a DQN / A3C series.☆394Updated 6 years ago
- This is the code for the "How to Beat Pong Using Policy Gradients (LIVE)" by Siraj Raval on Youtube☆70Updated 8 years ago
- Collection of Deep Reinforcement Learning algorithms☆299Updated 6 years ago
- Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym☆40Updated 6 years ago
- Codes of our team for the OpenAI Retro Contest of reinforcement learning☆99Updated 7 years ago
- Pong AI trained using policy gradient-based reinforcement learning☆52Updated last year
- Playing Mario with Deep Reinforcement Learning☆693Updated 9 years ago
- This is a simple implementation of DeepMind's PySC2 RL agents.☆273Updated 7 years ago
- Source code for OpenAI Retro Contest for Sonic the Hedgehog☆31Updated 6 years ago