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Terms index
Specialized AI and software-development terms with concise explanations
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Multi-Objective Optimization
The process of simultaneously handling multiple conflicting objective functions to find Pareto optimal solutions
Website pending - 2442
Multi-Goal Reinforcement Learning
An RL paradigm where an agent must achieve multiple distinct goals simultaneously or sequentially.
Website pending - 2443
Exploration Strategy
Mechanisms by which agents select actions in unknown environments to gather information
Website pending - 2444
Deep Learning
A subset of machine learning using multi-layered neural networks to model complex patterns.
Website pending - 2445
Meta-Reinforcement Learning
Learning paradigm enabling agents to quickly adapt to new tasks
Website pending - 2446
MAML
A meta-learning algorithm enabling fast adaptation via gradient updates.
Website pending - 2447
SGD
An optimization method updating parameters using mini-batches of data.
Website pending - 2448
First-Order Optimization
Parameter updates using only gradient information, not second derivatives
Website pending - 2449
Wasserstein Distance
A metric based on optimal transport theory used to measure the difference between two probability distributions
Website pending - 2450
Optimal Transport
Mathematical theory studying how to transform one probability distribution into another with minimal cost
Website pending - 2451
Baseline
Reference value subtracted from rewards to reduce gradient variance
Website pending - 2452
Variance Reduction
Techniques to lower stochastic gradient estimation noise for better convergence
Website pending - 2453
Transfer Learning
A method where knowledge gained from one task is applied to a different but related task.
Website pending - 2454
Evolutionary Strategies
Randomized optimization algorithm inspired by biological evolution, often used for black-box optimization
Website pending - 2455
Evolutionary Algorithm
Computational methods that simulate natural selection to optimize a set of candidate solutions.
Website pending - 2456
Policy Gradient
An RL method that performs gradient ascent directly on policy parameters to maximize expected return.
Website pending - 2457
Metalearning
A method where models learn how to learn, enabling rapid adaptation to new tasks.
Website pending - 2458
Compute
The ability to perform calculations, typically measured in FLOPs, serving as the core resource for training large models.
Website pending - 2459
Scaling Laws
Empirical rules describing how model performance improves with increased parameters, data, and compute.
Website pending - 2460
Emulator
Software that replicates legacy hardware systems to run classic software on modern computers.
Website pending - 2461
Emulator Backend
Software layer running legacy systems to provide standardized environments
Website pending - 2462
MDP
A mathematical framework for sequential decision-making problems, assuming future states depend only on the current state.
Website pending - 2463
Theorem Proving
The process of verifying the truth or falsity of mathematical propositions using formal logical rules.
Website pending - 2464
Policy Representation
Mapping an agent's decision rules to a vector space for learning and generalization
Website pending - 2465
Unsupervised Pre-training
Learning general language representations using massive unlabeled data
Website pending - 2466
Imitation Learning
A method where agents learn strategies by observing expert behavior
Website pending - 2467
1x1 Convolution
Convolution with a 1x1 kernel, commonly used for linear transformations across channels or dimensionality reduction.
Website pending - 2468
Reversible Neural Network
A network structure allowing lossless bidirectional information propagation, often used in generative models.
Website pending - 2469
Domain Randomization
Randomizing simulation parameters to improve model generalization to reality
Website pending - 2470
Options Framework
A hierarchical decision structure in RL representing temporally abstracted actions.
Website pending - 2471
Variational Inference
An approximate Bayesian method that converts posterior probability calculation into an optimization problem.
Website pending - 2472
Zero-Sum Game
Game model where one party's gain equals the other's loss, common in competitive games
Website pending - 2473
Intrinsic Motivation
Behavior driven by internal psychological states like curiosity, rather than external rewards
Website pending - 2474
Jacobian Matrix
Matrix of first-order partial derivatives describing local linear approximation, used for computing transformation volume elements
Website pending - 2475
Normalizing Flow
A generative model that maps simple distributions to complex target distributions via invertible transformations
Website pending - 2476
Neural ODE
Treats neural networks as continuous-time dynamical systems, describing hidden state changes via differential equations
Website pending - 2477
Task Decomposition
The process of breaking down complex problems into independently solvable sub-problems.
Website pending - 2478
Iterated Amplification
A technique training AI by recursively decomposing tasks and amplifying human judgment.
Website pending - 2479
Open Source
Software licensing model that allows source code to be viewed, modified, and distributed
Website pending - 2480
Sparse Reward
An environment characteristic where feedback is provided only upon task completion or rarely, making exploration difficult.
Website pending