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└── rrt_3D
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├── rrt3D.py # rrt3D : goal-biased rrt3D
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└── rrtstar3D.py
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└── Stochastic Shortest Path
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├── value_iteration.py # value iteration
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├── policy_iteration.py # policy iteration
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├── Q-value_iteration.py # Q-value iteration
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└── Q-policy_iteration.py # Q-policy iteration
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└── Model-free Control
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├── Sarsa.py # SARSA : on-policy TD control
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└── Q-learning.py # Q-learning : off-policy TD control
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## Animations - Search-Based
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### Best-First & Dijkstra
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</table>
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</div>
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### Value/Policy/Q-value/Q-policy Iteration
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* Brown: losing states
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<div align=right>
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<table>
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<tr>
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<td><img src="https://github.com/zhm-real/path-planning-algorithms/blob/master/Stochastic%20Shortest%20Path/gif/VI.gif" alt="value iteration" width="400"/></a></td>
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<td><img src="https://github.com/zhm-real/path-planning-algorithms/blob/master/Stochastic%20Shortest%20Path/gif/VI_E.gif" alt="value iteration" width="400"/></a></td>
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</tr>
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</table>
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</div>
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### SARSA(on-policy) & Q-learning(off-policy)
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* Brown: losing states
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<div align=right>
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<table>
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<tr>
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<td><img src="https://github.com/zhm-real/path-planning-algorithms/blob/master/Model-free%20Control/gif/SARSA.gif" alt="value iteration" width="400"/></a></td>
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<td><img src="https://github.com/zhm-real/path-planning-algorithms/blob/master/Model-free%20Control/gif/Qlearning.gif" alt="value iteration" width="400"/></a></td>
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</tr>
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</table>
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</div>
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## Papers
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### Search-base Planning
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* [A*: ](https://ieeexplore.ieee.org/document/4082128) A Formal Basis for the Heuristic Determination of Minimum Cost Paths
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