Timeline and Effort Matrix List
| Started? | Status | Description | Primary Group Member | Start Date | End Date | Ryan's Effort | Kyle's Effort | Jon's Effort |
|---|---|---|---|---|---|---|---|---|
| Yes | SPIKE | Understand Reinforcement Learning | Ryan, Kyle, Jon | Oct 31, 2017 | Nov. 31, 2017 | 33.33% | 33.33% | 33.33% |
| Yes | SPIKE | Research deep reinforcement learning | Jon | Oct 31, 2017 | Nov. 31, 2017 | 10% | 10% | 80% |
| No | SPIKE | Research long term planning in machine learning | Jon | Nov 31, 2017 | Dec 31, 2017 | 10% | 10% | 80% |
| Yes | SPIKE | Research what machine learning library is best to use | Kyle | Oct 31, 2017 | Nov 31, 2017 | 5% | 90% | 5% |
| Yes | SPIKE | Understand AlphaGo implementation and methodology. | Kyle | Oct 31, 2017 | Nov 31, 2017 | 15% | 70% | 15% |
| No | SPIKE | Research current state of RTS AI research | Ryan | Oct 31, 2017 | Nov 31, 2017 | 80% | 10% | 10% |
| Yes | SPIKE | Decide if C++ API or Python API is better suited | Jon | Oct 31, 2017 | Nov 31, 2017 | 15% | 15% | 70% |
| Yes | SPIKE | Research "best" race to use. | Ryan | Oct 31, 2017 | Nov 31, 2017 | 70% | 15% | 15% |
| Yes | SPIKE | Experiment with "dumb" AI agents. | Ryan | Oct 31, 2017 | Nov 31, 2017 | 65% | 10% | 25% |
| Yes | DEVELOP | Write testbed AI to document API usage in the "real world" | Jon | Nov 31, 2017 | Dec 31, 2017 | 10% | 10% | 80% |
| Yes | SPIKE | Understand Replay Data format/usage | Jon | Oct 31, 2017 | Nov 31, 2017 | 10% | 10% | 80% |
| Yes | DEVELOP | Build first naive attempt at a learning model to play the game | Kyle | Oct 31, 2017 | Nov 31, 2017 | 15% | 70% | 15% |
| No | DESIGN | Architect ML for short term planning | Kyle | Nov 31, 2017 | Dec 31, 2017 | 15% | 70% | 15% |
| No | DESIGN | Architect ML for long term planning | Ryan | Nov 31, 2017 | Dec 31, 2017 | 70% | 15% | 15% |