vivek3141 / super-mario-rlLinks
Deep Reinforcement learning and Python learn how to play the original Super Mario Bros
☆29Updated 6 years ago
Alternatives and similar repositories for super-mario-rl
Users that are interested in super-mario-rl are comparing it to the libraries listed below
Sorting:
- A gym environment for the game snake, with a tiled version. Contains implementations for NEAT and RL.☆9Updated 5 years ago
- A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning☆27Updated 6 years ago
- This program evolves an AI using the NEAT algorithm to play Super Mario Bros.☆106Updated 2 years ago
- Implementing the NEAT algorithm to play flappy bird☆11Updated 6 years ago
- An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.☆72Updated 4 years ago
- Solving TicTacToe using the minimax algorithm.☆9Updated 6 years ago
- ☆92Updated 4 years ago
- TensorFlow & Keras implementation of DQN with HER (Hindsight Experience Replay)☆40Updated 4 years ago
- Easy to use high level python library for popular machine learning algorithms. Has in-built support for graphing and optimizers based in …☆16Updated 2 years ago
- Reinforcement Learning for Super Mario Bros using A3C on GPU☆37Updated 7 years ago
- Super Mario Reinforcement Learning from Demonstration☆25Updated 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
- Keras and OpenAI Gym implementation of the Deep Q-learning algorithm to play Atari games.☆50Updated 7 years ago
- ☆69Updated 6 years ago
- Demo of UCT (MCTS) in Python / Numpy☆86Updated 2 years ago
- RUDDER: Return Decomposition for Delayed Rewards☆47Updated 4 years ago
- A simple implementation of MuZero algorithm for connect4 game☆96Updated 4 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 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…☆186Updated 9 months ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆29Updated 6 years ago
- ☆72Updated 2 years ago
- Evolving deep neural network agents using Genetic Algorithms☆67Updated 6 years ago
- An environment of the board game Go using OpenAI's Gym API☆173Updated 3 years ago
- ☆67Updated 3 years ago
- A simple Gridworld environment for Open AI gym☆25Updated 7 years ago
- Source code for OpenAI Retro Contest for Sonic the Hedgehog☆31Updated 6 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)☆40Updated 6 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Deep reinforcement learning implementation that trains AIs for the CodeCraft real-time strategy game.☆21Updated 2 years ago