tayalmanan28/Safe_Reinforcement_Learning
Repository containing the code for safe reinforcement learning in two custom environments
This project helps robotics engineers or control system designers develop reinforcement learning agents that can safely navigate complex environments. It takes an existing reinforcement learning agent's proposed actions and minimally adjusts them to prevent the system from entering unsafe states. The output is a safer set of actions that still guide the robot towards its goal, preventing damage or hazardous operation.
No commits in the last 6 months.
Use this if you are designing control systems for robots or autonomous agents and need to ensure they operate safely, avoiding collisions or forbidden areas while learning.
Not ideal if you are looking for a general-purpose reinforcement learning library without a specific focus on safety-critical applications.
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46
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9
Language
Python
License
MIT
Category
Last pushed
Apr 09, 2025
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