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- Jupyter Notebook 86%
- Python 14%
| doc | ||
| .gitignore | ||
| gridrender.py | ||
| gridworld.py | ||
| Hierarchical_RoomProblems.ipynb | ||
| HRL_methods.py | ||
| Option Discovery.ipynb | ||
| optiondiscovery.py | ||
| readme.txt | ||
| requirements.txt | ||
| RL_methods.py | ||
--------------- -- ToDo list -- --------------- P0 - Create framework for HRL - MAXQ algorithm ... to be tested - 2-rooms and/or 4-rooms tasks - Article from Botvinick et al on Drive: look at their implementation of 4-rooms - Implement 2-rooms OK, Q-learning & value iteration work - Nice presentation of results in Notebook Q-learning + MAXQ on 2-room is done P1 - Add option discovery to the framework ... methods done, disconnected from MAXQ - See OGovern, chapter 4 for the theory and applications to the 2-room task OK - Presentation in Notebook ...