There are 1 repository under custom-gym-environment topic.
Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)
Create Custom GYM Environment for SUMO and reinforcement learning agant
Sample setup for custom reinforcement learning environment in Sagemaker. This example uses Proximal Policy Optimization with Ray (RLlib).
Artificial Neural Network (MLP) and Deep Q-Learning Implementation from scratch, only using numpy.
Work for CDC2020
Gym Armed Bandits is an environment bundle for OpenAI Gym