Super-mario-bros-PPO-pytorch VS modelicagym

What are some alternatives?

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

ns3-gym - ns3-gym - The Playground for Reinforcement Learning in Networking Research

muzero-general - MuZero

robo-gym - An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.

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.

Minigrid - Simple and easily configurable grid world environments for reinforcement learning

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

gym-hybrid - Collection of OpenAI parametrized action-space environments.

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).

gym-cartpole-swingup - A simple, continuous-control environment for OpenAI Gym

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

bark-ml - Gym environments and agents for autonomous driving.