Timeline for How to train a machine learning model using reinforcement learning for Battleship to predict next best move?
Current License: CC BY-SA 4.0
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| Sep 3, 2023 at 13:58 | comment | added | Luca Anzalone | As a simple suggestion, I think you can solve this problem in various ways. Probably the classic alpha-beta search would be enough to solve small grids and should be way simpler to implement and debug than RL. Also, you can try a tabular RL algo like policy iteration to avoid the burden of deep RL. Another option, would be a model-based RL approach like using monte carlo tree search (MCTS). | |
| Sep 3, 2023 at 8:54 | comment | added | Neil Slater | Welcome to AI Stack Exchange. This could be the basis of an interesting question, but it looks like you need a full tutorial on how to understand and implement reinforcement learning. That's not really feasible, it would be too much. Plus resources for that already exist. I suggest find a tutorial that does something similar to your game, and attempt to continue your project that way. Ask a more focused question when you hit a specific block that stops you following the example or tutorial | |
| Sep 2, 2023 at 3:19 | history | edited | jstycrpsc | CC BY-SA 4.0 |
added 74 characters in body
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| Sep 2, 2023 at 3:06 | history | asked | jstycrpsc | CC BY-SA 4.0 |