AirGym is an environment using the Gym library to develop and compare reinforcement learning algorithms.
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Updated
Mar 27, 2023 - Python
AirGym is an environment using the Gym library to develop and compare reinforcement learning algorithms.
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
Some Reinforcement-Learning practices in PyTorch
Environnement Gym de flappy Bird
OpenAI's CartPole-v0
Null space control for high stiffness drilling posture optimization
Semester project for the AI Applications class of the MSc in Artificial Intelligence
Experimenting with Reinforcement learning in a car racing environment
Gym environments for capture properties of hidden states(hx) of recurrent networks.
Autonomous Driving AI Using Reinforcement Learning Via Carla Simulator (Python Program)
Trains an agent with Twin Delayed Deep Deterministic Policy Gradient (TD3) to solve the Bipedal Walker challenge from OpenAI
Best solution on OpenAI Leaderboard(for Nov 2019)
robomimic: A Modular Framework for Robot Learning from Demonstration
Just another approach to do machine learning stuff on games.
The following script allows us to convert a Google Sheet file to Obsidian markdown including dataviewjs syntax to query files and plot charts and tables
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