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reinforcement-learning-algorithms

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The Core Reinforcement Learning library is intended to enable scalable deep reinforcement learning experimentation in a manner extensible to new simulations and new ways for the learning agents to interact with them. The hope is that this makes RL research easier by removing lock-in to particular simulations.The work is released under the follow…

  • Updated May 21, 2024
  • Python

This project utilizes a guide robot to aid visually impaired individuals in navigating obstacle-filled maps. Advanced agents like Behiavor Cloning and Advantage-Filtered Behavior Cloning optimize navigation, while human-human interaction enhances data collection for improved safety and efficiency.

  • Updated May 14, 2024
  • Jupyter Notebook

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