Update README.md

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Huiming Zhou
2020-07-29 00:35:01 -07:00
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└── rrt_3D
├── rrt3D.py # rrt3D : goal-biased rrt3D
└── rrtstar3D.py
└── Stochastic Shortest Path
├── value_iteration.py # value iteration
├── policy_iteration.py # policy iteration
├── Q-value_iteration.py # Q-value iteration
└── Q-policy_iteration.py # Q-policy iteration
└── Model-free Control
├── Sarsa.py # SARSA : on-policy TD control
└── Q-learning.py # Q-learning : off-policy TD control
## Animations - Search-Based
### Best-First & Dijkstra
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</table>
</div>
### Value/Policy/Q-value/Q-policy Iteration
* Brown: losing states
<div align=right>
<table>
<tr>
<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>
<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>
</tr>
</table>
</div>
### SARSA(on-policy) & Q-learning(off-policy)
* Brown: losing states
<div align=right>
<table>
<tr>
<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>
<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>
</tr>
</table>
</div>
## Papers
### Search-base Planning
* [A*: ](https://ieeexplore.ieee.org/document/4082128) A Formal Basis for the Heuristic Determination of Minimum Cost Paths