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A tag is a keyword or label that categorizes your question with other, similar questions. Using the right tags makes it easier for others to find and answer your question.

For questions related to deep neural networks, which are artificial neural networks with "many" layers, where "many" can vary depending on the context.
201 questions
For questions related to reinforcement learning algorithms often referred to as "policy gradients" (or "policy gradient algorithms"), which attempt to directly optimise a parameterised policy (without…
198 questions
For questions about Artificial General Intelligence (AGI), a hypothetical machine characteristic permitting it to learn any arbitrary intellectual ability up to the limits of the available computing r…
195 questions
For questions about applications of Artificial Intelligence (and Machine Learning) algorithms.
189 questions
For questions related to the philosophical aspects of artificial intelligence. Topics such as human/AI value alignment, artificial consciousness, the feasibility of AGI, the ethics of AI, Neo-Luddism,…
187 questions
For questions about the concept of attention in artificial intelligence and machine learning. Attention-like mechanisms were successfully used in natural language processing and computer vision tasks,…
For questions related to genetic algorithms (GAs), which are a form of evolutionary algorithms. A genetic algorithm is a method (more precisely, a metaheuristic) for solving optimization and search pr…
180 questions
For questions related to image processing (in the context of AI).
180 questions
For questions related to the concept of data pre-processing, which includes, for example, cleaning, instance selection, normalization, transformation, feature extraction or selection.
167 questions
For questions related to the selection of and theory behind specific activation functions used in artificial networks.
167 questions
For questions involving search algorithms and their use in artificial intelligence
165 questions
For questions related to time series analysis or forecasting in the context of AI and, in particular, ML.
163 questions
For questions related to the concept of generative machine learning models, such as the Restricted Boltzmann Machine (RBM), the Variational Autoencoder (VAE), the Generative Adversarial Network (GAN),…
158 questions
For questions about autoencoders, a type of unsupervised artificial network for learning efficient data codings.
148 questions
For questions related to in-depth study or academic research. Do NOT use this tag when you are trying to find something out.
137 questions
For questions related to variational auto-encoders (VAEs). The first VAE was proposed in "Auto-Encoding Variational Bayes" (2013) by Diederik P. Kingma and Max Welling. There are several other VAEs, f…
136 questions
For questions about AI that learns without being provided with a set of labels (expected answers) along with the set of input examples.
134 questions
For questions about algorithm's that exhibit characteristics of intelligence, or are critical components in systems that exhibit intelligence, and problem-solving and goal-based algorithms in general.
131 questions
For questions related to regression (both linear and non-linear) in the context of machine learning and AI.
131 questions
For questions about prediction of a certain quantitative or a qualitative value by an algorithm
129 questions
For questions about evolutionary algorithms (EAs), which use mechanisms inspired by biological evolution, such as mutation, recombination, and/or selection. EAs comprise genetic algorithms (GAs), gene…
128 questions
For questions related to the OpenAI ChatGPT model/chatbot, which was trained by Reinforcement Learning from Human Feedback (RLHF).
128 questions
For questions related to Monte Carlo Tree Search (MCTS), which is a best-first, rollout-based tree search algorithm. MCTS gradually improves its evaluations of nodes in the trees using (semi-)random r…
127 questions
For questions related to the openAI, including the Gym toolkit.
For questions related to image segmentation (in computer vision and related AI fields).
124 questions
For questions related to modelling external environment, functional models tuned through convergent methods such as artificial networks or fuzzy logic containers, loss models, semantic models, model-b…
123 questions
For questions related to the concept of reward, for example, in the context of reinforcement learning and Markov decision processes. For questions related to reward functions, reward design, reward sh…
122 questions
For questions related to the family of reinforcement learning algorithms denoted by "actor-critic", where there is an actor (a policy) and a critic (a value function).
122 questions
For questions that ask about or call for proofs for specific assertions, whether they be proofs of theorems or corollaries, proofs of concept through working implementation, counter proofs, or counter…
121 questions
For questions related to the book "Reinforcement Learning: An Introduction" (by Andrew Barto and Richard S. Sutton).
For questions related to the reinforcement learning algorithm called proximal policy optimization (PPO), which was introduced in the paper "Proximal Policy Optimization Algorithms" (2017) by John Schu…
119 questions
For questions related to the concept of hyper-parameter optimization, that is, the task of finding the best hyper-parameters for a particular learning algorithm (e.g. gradient descent) or model (e.g. …
118 questions
For questions related to object recognition, which is the problem of determining the type/class/category of an object in the image, so object recognition could also be called object classification. Th…
115 questions
when you're looking for an algorithm (in the context of artificial intelligence) to solve your specific problem.
113 questions
For questions related to the concept of value (or performance, or quality, or utility) function (as defined in reinforcement learning and other AI sub-fields). An example of this type of functions is …
110 questions
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