Simple Gridworld Gymnasium Environment
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Updated
Jun 25, 2024 - Python
Simple Gridworld Gymnasium Environment
An extensible framework for creating RL environments based on Minetest and Gymnasium
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Autonomous driving episode generation for the Carla simulator in a gym environment. This framework makes it easy to create driving scenarios to train/test the agent.
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Deep Q-Learning Network using PyTorch
Using Q-Learning methods in Gymnasium to solve various games, very basic implementation.
Gymnasium environment based on real room and robot
Nokia's classic 'snake' game, written in NumPy and converted into a Gymnasium Environment() for use with gradient-based reinforcement learning algorithms
Experiments with Dyna-Q
Repository contains codes for the course CS780: Deep Reinforcement Learning
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