User Portlet
Featured Contributor
| Discussions |
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| ![enter image description here][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=3530main.png&userId=20103 [2]: https://www.wolframcloud.com/obj/98f6f67b-7526-4748-bb2e-b73ed562e65a |
| &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/6e742b4d-5bbc-430b-b6d5-e10b354ed763 |
| ![enter image description here][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=Image20240306202014.jpg&userId=20103 [2]:... |
| &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/28c8a591-79dd-4474-b1f8-251211827ce7 |
| Thank you! I missed the little ket inside the triangle pointing the opposite way. Forgive me. |
| Excellent, Michael. Thank you! |
| &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/d599beb0-4c46-472f-8c65-4e3302287128 |
| The Deep-Mind results are excellent! Thank you! They used reinforcement learning to find their algorithms. In an amusing twist, my little article has a recurrent approach to Policy-Gradient that could sidestep some matrix multiplication in RL itself. |
| &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/5dc1036c-85e2-4160-be03-34bb009eb2ad |