Top new questions this week:
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I try to implement deep reinforcement learning on a defender-vs-attacker problem, where agents can be destroyed by enemies. I am coding both the environment and the RL algorithm. The agent can observe ...
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In value iteration and policy iteration we solely consider a one-step-lookahead where the lookahead is from the previous iteraiton and therefore need to sweep over all states and iterate this ...
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I know return is total discounted reward of an episode,so it is easy to plot return vs. episode.But in many papers,they provide figures of average return vs step,like this:
Based on my knowledge,...
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I have data from our ticketing system. Currently using OpenNLP to create different models.
For simplicity I have a 10k ticket's text as category final queue of the ticket.
My questions:
Is it ...
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I am studying machine learning and wanted to work on a project of my own so that I have better chances after graduating college. I'm studying the application of ML to improve searches using a toy ...
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When considering multi-armed bandits in different formats, UCB, $\epsilon$-greedy, thompson sampling etc seems so greedy/myopic in the sense that it solely considers reward for the current timestep.
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I am trying to better understand the article "Mastering the Game of Go without Human Knowledge" (link) and I'm confused about the parallel implementation of Monte-Carlo-Tree-Search.
On page ...
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Greatest hits from previous weeks:
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These types of questions may be problem-dependent, but I have tried to find research that addresses the question whether the number of hidden layers and their size (number of neurons in each layer) ...
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I came across this answer on Quora, but it was pretty sparse. I'm looking for specific meanings in the context of machine learning, but also mathematical and economic notions of the term in general.
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I have performed an API call to OpenAI's endpoint https://api.openai.com/v1/models .
The endpoint lists the currently available engines, and provides basic information about each one such as the owner ...
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What are the limitations of the hill climbing algorithm? How can we overcome these limitations?
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I've got an array of integers ranging from -3 to +3.
Example: [1, 3, -2, 0, 0, 1]
The array has no obvious pattern since it represents bipolar disorder mood swings.
What is the most suitable approach ...
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According to NASA scientist Rick Briggs, Sanskrit is the best language for AI. I want to know how Sanskrit is useful. What's the problem with other languages? Are they really using Sanskrit in AI ...
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I trained a simple CNN on the MNIST database of handwritten digits to 99% accuracy. I'm feeding in a bunch of handwritten digits, and non-digits from a document.
I want the CNN to report errors, so I ...
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Can you answer these questions?
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I have been studying policy gradients recently but found different expositions from different sources, which greatly confused me. From the book "Reinforcement Learning: an Introduction (Sutton &...
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I am trying to understand the theoretical aspect of the denoising diffusion model. There we try to destroy the initial image x_0 through a chain of forward process and then learn a backward diffusion ...
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In Deep Q Learning algorithm the convergence is generally achieved using smart tricks like the target network and the replay buffer.
However there is one thing which is not clear to me. When the Q ...
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