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Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Grid2Op a testbed platform to model sequential decision making in power systems.
Multi-objective Gymnasium environments for reinforcement learning
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
Partially Observable Process Gym
A framework to design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.
A power network simulator with a Reinforcement Learning-focused usage.
Gym environments and agents for autonomous driving.
This is repository for the course ROS2 Autonomous Driving and SLAM using NAV2 with TurtleBot3 on Udemy.