Talendar / flappy-bird-gymLinks
An OpenAI Gym environment for the Flappy Bird game
β126Updated 3 years ago
Alternatives and similar repositories for flappy-bird-gym
Users that are interested in flappy-bird-gym are comparing it to the libraries listed below
Sorting:
- An OpenAI Gym environment for the Flappy Bird gameβ79Updated last year
- πReinforcement Learning: Super Mario Bros with dueling dqnπβ128Updated last month
- An environment of the board game Go using OpenAI's Gym APIβ175Updated 3 years ago
- Lightweight multi-agent gridworld Gym environmentβ208Updated last year
- Level-based Foraging (LBF): A multi-agent environment for RLβ183Updated 10 months ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,β¦β123Updated 4 years ago
- A collection of pre-trained RL agents using Stable Baselines3β130Updated 8 months ago
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.β100Updated 2 months ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning libraryβ229Updated 5 months ago
- A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)β258Updated last year
- Interactive tutorial to build a learning Mario, for first-time RL learnersβ237Updated 2 years ago
- Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorchβ135Updated 5 years ago
- Multi-objective Gymnasium environments for reinforcement learningβ334Updated 2 weeks ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithmsβ302Updated 2 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3β99Updated 3 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.β69Updated last month
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environmentsβ299Updated 4 months ago
- Example code for the Gym documentationβ72Updated 2 years ago
- A grid-world game engine for game AI researchβ245Updated last year
- A collection of Gymnasium compatible games for reinforcement learning.β81Updated last month
- Proximal Policy Optimization (Continuous Version) in PyTorch.β29Updated 2 months ago
- An API conversion tool for popular external reinforcement learning environmentsβ173Updated 6 months ago
- Simple, readable, yet full-featured implementation of PPO in Pytorchβ49Updated 2 months ago
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilitiesβ408Updated last month
- A tool to automate installing Atari ROMs for the Arcade Learning Environmentβ79Updated 2 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...β415Updated 3 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.β145Updated 3 years ago
- Datasets with baselines for offline multi-agent reinforcement learning.β174Updated 2 months ago
- Additional code for Stable-baselines3 to load and upload models from the Hub.β87Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.β358Updated 2 years ago