vivek3141 / super-mario-rl
Deep Reinforcement learning and Python learn how to play the original Super Mario Bros
☆28Updated 6 years ago
Related projects: ⓘ
- A gym environment for the game snake, with a tiled version. Contains implementations for NEAT and RL.☆9Updated 4 years ago
- This program evolves an AI using the NEAT algorithm to play Super Mario Bros.☆100Updated 2 years ago
- A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning☆27Updated 5 years ago
- Implementing the NEAT algorithm to play flappy bird☆11Updated 6 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 last year
- Solving TicTacToe using the minimax algorithm.☆9Updated 5 years ago
- An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.☆68Updated 3 years ago
- NEAT for Reinforcement Learning on the OpenAI Gym☆23Updated last year
- A comprehensive C tutorial.☆9Updated 5 years ago
- ☆10Updated this week
- Demo of UCT (MCTS) in Python / Numpy☆81Updated last year
- Using Deep Reinforcement Learning, a computer program learns how to solve the Rubik's Cube, the world's most popular toy.☆17Updated 6 years ago
- This python program detects sidewalks and gives real time navigation to a blind man using the camera.☆13Updated 6 years ago
- An OpenAI gym environment made for RL☆64Updated 9 months ago
- ☆63Updated 2 years ago
- An environment of the board game Go using OpenAI's Gym API☆164Updated 2 years ago
- This python program translates speech to sign language and sign language to speech. Currently only does letter-by-letter.☆9Updated 6 years ago
- Implementation of Deep Q-learning from Demonstrations using Keras and a Retro Gym environment.☆14Updated 6 years ago
- Coding Demos from the School of AI's Move37 Course☆184Updated 5 years ago
- Reinforcement Learning for Super Mario Bros using A3C on GPU☆36Updated 6 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆170Updated 5 years ago
- A structured implementation of MuZero☆203Updated 2 years ago
- 📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️☆48Updated 4 months ago
- A simple implementation of MuZero algorithm for connect4 game☆93Updated 4 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆173Updated last year
- This is the code for "Actor Critic Algorithms" by Siraj Raval on Youtube☆73Updated 6 years ago
- Solving board games like Connect4 using Deep Reinforcement Learning☆34Updated last year
- Model-Based RL Demo for Pendulum-v0☆13Updated 4 years ago
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆101Updated 4 years ago
- ☆91Updated 3 years ago