sebastianheinz / super-mario-reinforcement-learning
Double Q-learning reinforcement learning agent on NES Super Mario Bros
☆39Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for super-mario-reinforcement-learning
- A structured implementation of MuZero☆206Updated 2 years ago
- A simple implementation of MuZero algorithm for connect4 game☆95Updated 4 years ago
- PyTorch implementation of Advantage Actor-Critic (A2C)☆44Updated 7 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆173Updated 2 months ago
- Deep reinforcement learning model implementation in Tensorflow + OpenAI gym☆287Updated last year
- Pytorch Implementation of MuZero☆343Updated last year
- Deep Reinforcement learning and Python learn how to play the original Super Mario Bros☆28Updated 6 years ago
- Interactive tutorial to build a learning Mario, for first-time RL learners☆208Updated last year
- [Experimental] TensorFlow 2 version of stable-baselines, temporary repository☆45Updated 4 years ago
- Hands-on Deep Reinforcement Learning, published by Packt☆67Updated last year
- Pytorch implementation of distributed deep reinforcement learning☆74Updated 2 years ago
- Scalable Implementation of Neural Fictitous Self-Play☆73Updated 5 years ago
- Distributed Deep Reinforcement Learning☆29Updated 3 years ago
- An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.☆70Updated 3 years ago
- Starter Kit for NeurIPS 2020 - Procgen Competition on AIcrowd☆90Updated last year
- A Python3 NES emulator and OpenAI Gym interface☆240Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆133Updated 5 years ago
- Scalable implementation of DREAM - Deep RL for multi-agent imperfect information games☆112Updated 4 months ago
- A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…☆156Updated 3 years ago
- Reinforcement Learning for Super Mario Bros using A3C on GPU☆36Updated 6 years ago
- PyTorch AlphaZero implementation with multiplayer support [NeurIPS 2019 Deep Reinforcement Learning Workshop]☆34Updated 3 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆94Updated 4 years ago
- ☆92Updated 3 years ago
- Vectorized interface for reinforcement learning environments☆141Updated last year
- ☆65Updated 3 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆299Updated 9 months ago
- An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES☆689Updated last year
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆77Updated 5 years ago
- Explore and find reinforcement learning environments in a list of 150+ open source environments.☆90Updated last year
- An environment of the board game Go using OpenAI's Gym API☆168Updated 2 years ago