Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
☆1,295Jul 24, 2021Updated 4 years ago
Alternatives and similar repositories for Super-mario-bros-PPO-pytorch
Users that are interested in Super-mario-bros-PPO-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros☆1,111Apr 28, 2024Updated 2 years ago
- An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES☆864Jun 10, 2026Updated last week
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,356Jul 9, 2024Updated last year
- 🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄☆150May 20, 2025Updated last year
- Deep Q-learning for playing tetris game☆533Apr 3, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆13,458Updated this week
- A Python3 NES emulator and OpenAI Gym interface☆279Jun 10, 2026Updated last week
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,630Mar 24, 2023Updated 3 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,900May 29, 2022Updated 4 years ago
- A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-par…☆1,245Oct 1, 2024Updated last year
- Code for the paper "Phasic Policy Gradient"☆267Apr 2, 2023Updated 3 years ago
- Deep Q-learning for playing flappy bird game☆559Oct 7, 2021Updated 4 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,934Jul 25, 2024Updated last year
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆82Jan 19, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- An elegant PyTorch deep reinforcement learning library.☆10,800Apr 3, 2026Updated 2 months ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,734Aug 1, 2024Updated last year
- MuZero☆2,828Sep 3, 2024Updated last year
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,206Apr 22, 2023Updated 3 years ago
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,340Feb 20, 2026Updated 4 months ago
- Pytorch Implementation of MuZero☆355Jul 23, 2023Updated 2 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Oct 30, 2020Updated 5 years ago
- ☆13Jun 1, 2020Updated 6 years ago
- Retro Games in Gym☆3,585Feb 22, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆941Mar 23, 2024Updated 2 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆2,024Updated this week
- [IJCAI'20][ICLR'19 Workshop] Flow-based Intrinsic Curiosity Module. Playing SuperMario with RL agent and FICM!☆104Dec 8, 2022Updated 3 years ago
- Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike☆165Nov 11, 2019Updated 6 years ago
- Interactive tutorial to build a learning Mario, for first-time RL learners☆254Jan 27, 2023Updated 3 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆9,973Apr 20, 2026Updated 2 months ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,086Jul 14, 2023Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆696Dec 18, 2025Updated 6 months ago
- A toolkit for developing and comparing reinforcement learning algorithms.☆37,222Mar 26, 2026Updated 2 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Reinforcement Learning Algorithms Based on PyTorch☆453Oct 21, 2021Updated 4 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆807May 29, 2022Updated 4 years ago
- ☆69Nov 30, 2018Updated 7 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,428Apr 16, 2024Updated 2 years ago
- [ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"☆235Dec 27, 2022Updated 3 years ago
- A modular implementation for Proximal Policy Optimization in Tensorflow 2 using Eagerly Execution for the Super Mario Bros enviroment.☆21Nov 6, 2019Updated 6 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,178Nov 4, 2021Updated 4 years ago