vietnh1009 / Super-mario-bros-A3C-pytorchLinks
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
☆1,091Updated last year
Alternatives and similar repositories for Super-mario-bros-A3C-pytorch
Users that are interested in Super-mario-bros-A3C-pytorch are comparing it to the libraries listed below
Sorting:
- Proximal Policy Optimization (PPO) algorithm for Super Mario Bros☆1,191Updated 3 years ago
- An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES☆779Updated last year
- Deep Q-learning for playing flappy bird game☆536Updated 3 years ago
- Deep Q-learning for playing tetris game☆504Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,080Updated 4 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆681Updated 4 years ago
- AI research environment for the Atari 2600 games 🤖.☆260Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,634Updated 3 years ago
- Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.☆558Updated 4 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,967Updated last month
- A Python3 NES emulator and OpenAI Gym interface☆264Updated last year
- Gym - 32 levels of original Super Mario Bros☆290Updated 6 years ago
- A Python toolkit used to train reinforcement learning algorithms against arcade games☆654Updated 5 years ago
- Code for the paper "Exploration by Random Network Distillation"☆903Updated 4 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,183Updated 2 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆448Updated 3 years ago
- Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"☆1,623Updated last year
- Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"☆1,722Updated 11 months ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,230Updated last year
- A Platform for Many-Agent Reinforcement Learning☆1,747Updated 2 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,442Updated 2 years ago
- Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow☆856Updated 4 years ago
- Hands-On Reinforcement Learning with Python, published by Packt☆815Updated 2 years ago
- Minimal Deep Q Learning (DQN & DDQN) implementations in Keras☆1,306Updated 4 years ago
- Deep Reinforcement Learning in Pac-man☆284Updated last year
- Simple A3C implementation with pytorch + multiprocessing☆647Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,282Updated 5 years ago
- Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)☆545Updated 5 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,288Updated 5 months ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆546Updated 8 months ago