Reinforcement-Learning-F22/Dynamic-Routing-for-Navigation-in-Changing-Unknown-Maps
View on GitHub ↗Related repositories →Using Reinforcement Learning (RL) algorithms to plan a global route for mobile robot navigation problems. Q-learning, Sarsa, and Double Q-learning algorithms for the environment with cliff, mouse, and cheese are compared.
active 2023-09-12 → 2024-12-11 (UTC)
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Line chart, 457 days from 2023-09-12 to 2024-12-11. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 7 total, peak 1 in a day.
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