offworld-projects/offworld-gym
OffWorld Gym: Open-Access Physical Robotics Environment for Real-World Reinforcement Learning Benchmark and Research
OffWorld Gym provides free remote access to real-world robotic environments for training and testing reinforcement learning algorithms. Researchers can connect their algorithms to physical wheeled robots on uneven terrain, using camera images (RGB/Depth) as input to control robot movement. This service is designed for reinforcement learning researchers who need to validate their agents in a physical setting.
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Use this if you are a reinforcement learning researcher who wants to test your algorithms on real robots without managing physical hardware.
Not ideal if you are looking for a simulated-only environment or if you do not have prior experience with reinforcement learning frameworks.
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57
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8
Language
Python
License
GPL-3.0
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Last pushed
May 22, 2023
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