Kautenja / gym-super-mario-bros
An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
☆679Updated last year
Related projects: ⓘ
- A Python3 NES emulator and OpenAI Gym interface☆235Updated 10 months ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆644Updated 4 months ago
- Gym - 32 levels of original Super Mario Bros☆285Updated 5 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆450Updated 5 months ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆666Updated 2 years ago
- Simple and easily configurable 3D FPS-game-like environments for reinforcement learning☆694Updated 2 weeks ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆529Updated 2 months ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆600Updated last year
- A simple OpenAI Gym environment for single and multi-agent reinforcement learning☆713Updated 9 months ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,127Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,198Updated 9 months ago
- A collection of multi agent environments based on OpenAI gym.☆553Updated 2 months ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,083Updated 2 weeks ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,074Updated 7 months ago
- A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.☆348Updated 11 months ago
- A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface☆367Updated last year
- Soft Actor-Critic☆970Updated 9 months ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆526Updated last year
- Sokoban environment for OpenAI Gym☆322Updated 10 months ago
- Structural implementation of RL key algorithms☆506Updated last year
- TensorFlow2 Reinforcement Learning☆465Updated 2 years ago
- Code for the paper "Exploration by Random Network Distillation"☆873Updated 3 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆662Updated 3 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆554Updated last year
- ☆1,040Updated 3 months ago
- Python Multi-Agent Reinforcement Learning framework☆1,821Updated last year
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆847Updated last month
- PlayGround: AI Research into Multi-Agent Learning.☆765Updated 9 months ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆283Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆302Updated 4 years ago