yfeng997 / MadMario
Interactive tutorial to build a learning Mario, for first-time RL learners
☆213Updated 2 years ago
Alternatives and similar repositories for MadMario:
Users that are interested in MadMario are comparing it to the libraries listed below
- This project is implementation code of AlphaStar☆194Updated last year
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆287Updated last year
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆533Updated this week
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆678Updated 10 months ago
- 🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄☆106Updated 2 months ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆212Updated last week
- An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES☆706Updated last year
- (JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play …☆322Updated 2 years ago
- A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)☆237Updated 6 months ago
- Pytorch Implementation of MuZero☆347Updated last year
- Level-based Foraging (LBF): A multi-agent environment for RL☆169Updated 4 months ago
- Find best-response to a fixed policy in multi-agent RL☆278Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆585Updated 6 months ago
- Example code for the Gym documentation☆71Updated last year
- Imitation learning algorithms☆494Updated 6 months ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆401Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆463Updated 9 months ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆167Updated 6 months ago
- Reinforcement learning tutorials☆365Updated last year
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆68Updated 6 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆135Updated 6 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆523Updated 3 years ago
- Code for conservative Q-learning☆421Updated 3 years ago
- ☆364Updated last year
- Tools for accelerating safe exploration research.☆517Updated last year
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆340Updated 3 years ago
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆190Updated 2 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆542Updated last year
- DQN to play Atari Pong☆112Updated 6 years ago