gym-battleship VS Super-mario-bros-PPO-pytorch

Compare gym-battleship vs Super-mario-bros-PPO-pytorch and see what are their differences.

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gym-battleship Super-mario-bros-PPO-pytorch
2 1
9 970
- -
2.4 0.0
about 1 year ago almost 3 years ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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gym-battleship

Posts with mentions or reviews of gym-battleship. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-02.
  • Battleship
    4 projects | news.ycombinator.com | 2 Apr 2022
    There are a few gyms for battleship, https://github.com/thomashirtz/gym-battleship ... some variations I would like to see involve a much bigger grid (100x100) and moving ships along axis @ various rates ... but then you would get a different game I guess.
  • Python OpenAI Gym environment for reinforcement learning
    2 projects | /r/reinforcementlearning | 13 May 2021
    (shamless plug) If you want to check out a simple custom gym environment of a boardgame, I did a battleship env some time ago: https://github.com/thomashirtz/gym-battleship

Super-mario-bros-PPO-pytorch

Posts with mentions or reviews of Super-mario-bros-PPO-pytorch. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing gym-battleship and Super-mario-bros-PPO-pytorch you can also consider the following projects:

open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

muzero-general - MuZero

rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

pytorch-learn-reinforcement-learning - A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

rl-baselines-zoo - A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

portfolio-management - Repository for portfolio management using Pytorch, SQLAlchemy and XArray. The management is done using the reinforcement learning algorithm "Soft Actor-Critic".

pybullet-gym - Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.