Kautenja / playing-mario-with-deep-reinforcement-learningLinks
An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.
☆73Updated 4 years ago
Alternatives and similar repositories for playing-mario-with-deep-reinforcement-learning
Users that are interested in playing-mario-with-deep-reinforcement-learning are comparing it to the libraries listed below
Sorting:
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆193Updated last year
- Gym - 32 levels of original Super Mario Bros☆291Updated 6 years ago
- Deep Q Learning via Pytorch☆86Updated 7 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 8 years ago
- Proximal Policy Optimization implementation with TensorFlow☆108Updated 7 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- ☆91Updated 5 years ago
- Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.☆134Updated 6 years ago
- Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras☆160Updated 5 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆176Updated 3 years ago
- Reinforcement Learning in Keras on VizDoom☆142Updated 8 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 6 years ago
- ☆69Updated 7 years ago
- Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"☆206Updated 4 years ago
- Deep reinforcement learning model implementation in Tensorflow + OpenAI gym☆308Updated 2 years ago
- ☆303Updated 2 years ago
- Half Field Offense in Robocup 2D Soccer☆237Updated 3 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 4 years ago
- Repository for codes of 'Deep Reinforcement Learning'☆219Updated 6 years ago
- Deep Reinforcement learning and Python learn how to play the original Super Mario Bros☆29Updated 7 years ago
- Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym☆178Updated 7 years ago
- Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.☆101Updated 5 years ago
- Keras and OpenAI Gym implementation of the Deep Q-learning algorithm to play Atari games.☆48Updated 8 years ago
- Implementing reinforcement-learning algorithms for pysc2 -environment☆89Updated 7 years ago
- Reinforcement Learning using Policy Gradient to solve OpenAI Gym games☆112Updated 7 years ago
- Coding Demos from the School of AI's Move37 Course☆182Updated 7 years ago
- TensorFlow 2.0 for Deep Reinforcement Learning.☆88Updated 2 years ago
- PPO implementation for OpenAI gym environment based on Unity ML Agents☆150Updated 7 years ago
- OpenAI's cartpole env solver.☆155Updated 2 years ago
- Tensorflow + OpenAI Gym implementation of Deep Q-Network (DQN), Double DQN (DDQN), Dueling Network and Deep Deterministic Policy Gradient…☆79Updated 8 years ago