mbchang

Results 17 comments of mbchang

Hi, the Neural Physics Engine is very similar in implementation to the Interaction Network and Relation Network. While the NPE is implemented in Torch, there are tensorflow implementations of the...

Hi, while the Social LSTM does preserve some spatial information, it loses spatial information through the social pooling operation (for neighbors within a certain spatial distance). Similarly, the No-Pairwise baseline...

It would be helpful to integrate cuda support more deeply into torchsample. For example, in torchsample/transforms/affine_transforms.py, instead of ``` zoom_matrix = th.FloatTensor([[zx, 0, 0], [0, zy, 0], [0, 0, 1]])...

Thanks @treppers for the PR! This kind of agent looks like it could make writing dialogue agents much more streamlined. - It looks like you have made a few changes...

Thanks for the update @treppers! Curious to see what you find in the compare-and-contrast.

This post is about `agent_simulations_v3`, which improves upon `agent_simulations_v2` by using a generic `RoundRobinSimulator` rather than a CAMEL-specific simulator. If all we want is a simulator for two agents, then...

`current_time = kwargs.get("current_time")` is not sufficient, because even though the variable `current_time` exists as a `kwarg`, the value passed for the `current_time` is `None`. This causes `doc.metadata["last_accessed_at"] = None` and...