PathPlanning/README.md

Directory Structure
------
    .
    └── Search-based Planning
        ├── bfs.py                                  # breadth-first
        ├── dfs.py                                  # depth-first
        ├── dijkstra.py                             # dijkstra
        ├── a_star.py                               # a*
        ├── queue.py                                # FIFO, FILO, Priority queues
        ├── env.py                                  # environment: grid world, motions
        └── plotting.py                             # animation
    └── 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
    └── Sampling-based Planning

## Animations
### Dijkstra's & A*
* Blue: starting state
* Green: goal state

<div align=right>
<table>
  <tr>
    <td><img src="https://github.com/zhm-real/path-planning-algorithms/blob/master/Search-based%20Planning/gif/Dijkstra.gif" alt="dijkstra" width="400"/></a></td>
    <td><img src="https://github.com/zhm-real/path-planning-algorithms/blob/master/Search-based%20Planning/gif/Astar.gif" alt="Astar" width="400"/></a></td>
  </tr>
</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>

## License
MIT License