Dohyeong Kim
Hello, thank you for sharing good code. I am trying to solve a DefeatRoaches minigame by using a Relational Network. I found a example code of Transformer for MNIST classification...
Thank you for always kindly answering. Suddenly the computer stopped when learning and tried to use the restore function to start with the learning results done so far. However, I...
Hello, Currently, I am trying to implement paper 'Human-level performance in first-person multiplayer games with population-based deep reinforcement learning'. I can make a [simple 1 vs 1 CFG game](https://www.youtube.com/watch?v=88dNnX357eY) using...
Hello, I try to use a webcam in ROS of Jetbot and encounter some error like a below picture.  I try to modify code at jetbot_camera.cpp. But, it is...
#4385 I am not sure why I need to set the **num_positional_args** as 2 manually. It doesn't look the proper way.
https://github.com/unifyai/ivy/issues/4385 I need to manually set the num_positional_args argument as 2 to make them pass the test. I put the argument of the frontend function as like the [official document](https://jax.readthedocs.io/en/latest/_autosummary/jax.lax.linalg.triangular_solve.html).
https://github.com/unifyai/ivy/issues/4575 I should delete the bfloat16 type from the Torch backend to make the code pass the test. I am not sure why other backends have the same issue.
The issue is that the default of the ord argument of the **jax.numpy.linalg.norm** function is None. Another framework usually has an int-type value for that. Therefore, it looks like a...
I got a error message like a below after sumission.  I can not know what is problem at this message.
Hello, Thank you for sharing the code. It works well. I find it is too slow to send the image frame as an observation value by using the Float, Int...