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Nov 21, 2021 · AI features where you work: search, IDE, and chat. Learn more Explore Teams. Teams. Ask questions, find ...
Mar 27, 2023 · Temp Top_p Description; Code Generation: 0.2: 0.1: Generates code that adheres to established patterns and conventions. Output is more deterministic and focused. Useful for generating syntactically correct code. Creative Writing: 0.7: 0.8: Generates creative and diverse text for storytelling. Output is more exploratory and less constrained by ...
Apr 19, 2018 · I tried to build a neural network from scratch to build a cat or dog binary classifier using a sigmoid output unit. I seem to get the output value around 0.5(+/- 0.002) for every input. This seems ...
Sep 16, 2017 · For winning positions: terminate the minimax when a win is found. For losses and draws: search the whole game tree and give the position a score of 0+MTP for draws and L+MTP for losses. L is a large number and MTP is the number of moves to reach the position. Share. Improve this answer.
Oct 4, 2022 · UCBerkley has a great Intro to AI course (CS188) where you can practice coding up search algorithms. One of the exercises ( question 6 ), asks to generate a heuristic that will have Pacman find all 4 corners of the grid.
Sep 22, 2023 · As I'm new to the AI/ML field, I'm still learning from various online materials. In this particular instance, I've been studying the Reinforcement Learning tutorial by deeplizard, specifically focusing on videos 8 through 10.
Users. Jobs. Companies. Unanswered. Teams. Now available on Stack Overflow for Teams! AI features where you work: search, IDE, and chat. Learn more Explore Teams.
Dec 14, 2020 · Most RL algorithms assume a discretization of time (although RL can also be applied to continuous-time problems []), i.e., in theory, it doesn't really matter what the actual time between consecutive time steps is, but, in practice, you may have delays in the rewards or observations, so you cannot perform e.g. the TD updates immediately.
Nov 2, 2020 · RL can be used for cases where you have sparse rewards (i.e. at almost every step all rewards are zero), but, in such a setting, the experience the agent receives during the trajectory does not provide much information regarding the quality of the actions.
Mar 22, 2024 · $ python temp.py Some weights of BertForSequenceClassification were not init ialized from the model checkpoint at Maltehb/danish-bert-bo txo and are newly initialized: ['classifier.bias', 'classifier.weight'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
