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Using '🎳 Environments for Reinforcement Learning' for Simulating a Monte Carlo Localization Algorithm Based on Real Data

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ssl-en

Requirements

$ sudo apt-get install libprotobuf-dev protobuf-compiler -y
$ cd gym_ssl/grsim_ssl/pb/
$ protoc --python_out=../ *.proto
$ pip install -e .

Test code

import gym
import gym_ssl

env = gym.make('grSimSSL-v0')
env.step()
env.reset()

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Using '🎳 Environments for Reinforcement Learning' for Simulating a Monte Carlo Localization Algorithm Based on Real Data

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