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(Personal experiment) Unsupervised Predictive Memory in a Goal-Directed Agent https://arxiv.org/abs/1803.10760
My understanding is Merlin targets "goal-directed behaviours". For example in the videos the agent repeatedly finds ways to a specific goal.
However in the memory game, the cards are shuffled each time, which does require memory but there is no sense of static "goal".
My question: Is merlin certainly applicable to the memory game, even though there is no known static goal state? In the code I see memory accumulating across episodes, but I think that means past memories (from previous episodes) are not useful.
Please forgive my ignorance if I am mistaken, also I know this is a work in progress. Your sharing is very much appreciated.
Thank you yosider for sharing this very interesting repo!
Would you consider implementing simpler agents "RL-LSTM" and/or "RL-Mem" from the paper? They would make good baselines and are simpler to follow.
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