Questions tagged [ai]

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2answers
38 views

Can some one please explain AI, Machine learning and Deep learning? [closed]

Can anybody Differentiate between AI, Machine-learning, and Deep-learning? Please Share if you have Detailed Material. Thanks in Advance.
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0answers
9 views

Rewards are converged but with a lot of variations

I am training a reinforcement learning agent on an episodic task of fixed episode length. I am tracking the training process by plotting the cumulative rewards over an episode. I am using tensorboard ...
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1answer
23 views

Having a reward structure which gives high positive rewards compared to the negative rewards

I am training an RL agent using PPO algorithm for a control problem. The objective of the agent is to maintain temperature in a room. It is an episodic task with episode length of 9 hrs and step size(...
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1answer
15 views

Formulation of a reward structure

I am new to reinforcement learning and experimenting with training of RL agents. I have a doubt about reward formulation, from a given state if a agent takes a good action i give a positive reward, ...
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0answers
8 views

Several dips in accumulated episodic rewardss during training of a reinforcement learning agent

Hi I am training reinforcement learning agents for a control problem using PPO algorithm. I am tracking the accumulated rewards for each episode during the training process. Several times during the ...
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1answer
26 views

Neural network is not giving the expected output after training in Python

My neural network is not giving the expected output after training in Python. Is there any error in the code? Is there any way to reduce the mean squared error (MSE)? I tried to train (Run the ...
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1answer
18 views

How to handle differences between training and deploying of an RL agent

Hi I am training an RL agent for a control problem. The objective of the agent is to maintain temperature in a zone. It is an episodic task with episode length of 10 hrs and actions being taken every ...
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1answer
98 views

Can AI (NLP) convert user questions (text) into database SQL queries?

I have been reading about NLP but got confused and not able to figure out - if it is feasible for NLP to convert questions in natural language to transform into SQL queries (so that it can execute on ...
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1answer
34 views

Policy Gradient with continuous action space

How to apply reinforce/policy-gradient algorithms for continuous action space. I have learnt that one of the advantages of policy gradients is , it is applicable for continuous action space. One way I ...
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0answers
19 views

Can linear classifiers be used at each node of a decision tree instead of the lines parallel to any one of the axes?

I am relatively new to AI/ML. I came across this question while reading some content on ML. Would be of great help if anyone can answer this
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1answer
24 views

Reward is converging but actions taken by trained agent are illogical in reinforcement learning

I am training a reinforcement learning agent using DQN. My state space has 6 variables and the agent can one action which is discretized into 500 actions My reward structure looks like ...
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0answers
16 views

How to calculate Temperature variable in softmax(boltzmann) exploration

Hi I am developing a reinforcement learning agent for a continous state/discrete action space. I am trying to use boltmzann/softmax exploration as action selection strategy. My action space is of size ...
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0answers
14 views

temperature variable in boltzmmann-exploration in reinforcement learning

I have been using epsilon greedy action selection strategy and recently have come across boltzmann(softmax) action selection strategy. One thing I am not clear about boltzmann exploration is the ...
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0answers
84 views

Tensorflow and Keras model having same parameters, hyperparameters, weight and bias initialization give different accuracy?

I have made sure that layers,parameters, hyperparameters,kernel_initialization, bias_initialization, seed and dataset are all equal. But still the output for both the models are different. ...
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2answers
98 views

RandomForest surprisingly high accuracy

I've been experimenting with Random Forests on Python after trying Naive Bayes which gave me lower accuracy than I expected, 62%. My csv file has around 14,000 records, I use 80% for the training set ...
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2answers
37 views

Does an RL agent learn during exploitation?

I have started with RL and have some doubts regarding it. Does an RL agent learn during exploitation, or does it only learn during exploration? Is it possible to train a model only using exploitation ...
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1answer
43 views

Which courses should I take in order to learn ML and AI? [closed]

I want to learn ML and AI so I want to know which courses(It would be nice if the courses were free) should I take in order to do that and in what order should I learn them. I want the courses to ...
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4answers
851 views

What are some good books on Machine Learning and AI like Krugman, Wells and Graddy's “Essentials of Economics”

I am a Logistics student. I like the book "Essentials of Economics" by Krugman, Wells and Graddy in that it is concise, easygoing and not only a beginners book (it gradually approaches advanced ...
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1answer
810 views

Using SMOTE for Synthetic Data generation to improve performance on unbalanced data

I presently have a dataset with 21392 samples, of which, 16948 belong to the majority class (class A) and the remaining 4444 belong to the minority class (class B). I am presently using SMOTE (...
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1answer
39 views

How large of a value should a weight have in a neural network?

If you're assigning random values to the weights in a neural network before back-propagation, is there a certain maximum or minimum value for each weight ( for example, 0 < w < 1000 ) or can ...
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0answers
19 views

What kinds of math do I need to know to construct graph that preserve its directed simplicies at each time step? [closed]

First of all Thank you for taking your time to answer my questions. Disclaimer: I am no where near expert. I am just an undergrad student who is planning to get PhD in Deep Learning. I have been ...
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2answers
158 views

Gym action space for board game with reward function

Im trying to design an openai gym environment that plays a quite simple board game where each player has 16 pieces that are exactly the same in regard to how they can move. The board is 10x10 and ...
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3answers
572 views

Is it possible to make a CS:GO Machine Learning AI? [closed]

I am not an expert on Machine Learning, Neural Networks or NEAT. In fact, I probably have no clue what I'm talking about. My question is if you can make a learning AI that learns to play complex ...
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1answer
21 views

Training AI to do repetive retouching job [closed]

I'm new to AI, so bear with me... What would be the easiest way to do this using AI? Where do I start? What technologies are already available? Sample data: 50.000 before images ex. there's a red ...
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1answer
80 views

how to classify Iris flowers

I'm working on a classification problem .I want to classify Iris flowers from the famous Iris data set using MLP. I know that I the number of neurons in output layer should be the same number of ...
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0answers
29 views

What kind of neural network would work best for loosely-defined data, like video game RAM?

I'm trying to build out a network layer map for a neural network to use in an NES AI. Most networks I run across on web searches are CNNs that use image data to identify things. Miles and miles and ...
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1answer
24 views

AI that maximizes the storage of rectangular parallelepipeds in a bigger parallelepiped

As you can see in the title, I'm trying to program an AI in Java that would help someone optimize his storage. The user has to enter the size of his storage space (a box, a room, a warehouse etc...) ...
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2answers
129 views

Check If Answer for a Question is Correct by Similarity

Let's say in an NLP problem, I have a question and some correct answers to that question (say, 10 correct answers). Is there a way to get a new answer as input, and "calculate" whether it is correct?...
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0answers
31 views

Check If Answer is Correct by Similarity

I am new to data science and machine learning. Let's say that I have a question, and some correct answers for that question (for example, 10 correct answers). Is there a way to get a new answer as ...
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1answer
162 views

when to use dot product and when to use the common product In neural networks?

I wanted to know when to use dot product and when to not , I also don't know when we must transpose an array and why should we , could someone help me to understand this ? If you could give me the ...
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2answers
305 views

Training an AI to play Starcraft 2 with superhuman level of performance?

I'm interested in working on challenging AI problems, and after reading this article (https://deepmind.com/blog/deepmind-and-blizzard-open-starcraft-ii-ai-research-environment/) by DeepMind and ...
2
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2answers
141 views

What is the relationship between AI and data science?

I think they share a lot (e.g. machine learning is a subset of both, right?), but maybe both have elements the other doesn't have? Could you name some in that case? Or is one a subset of the other? ...