AI Agents Glossary

Everything you need to know about AI Agents

AI Agent
Autonomous Agent
Cognitive AI
Reinforcement Learning
Multi-Agent System (MAS)
Robotic Process Automation (RPA)
Supervised Learning
Unsupervised Learning
Deep Learning
Decision-Making Algorithms
Environment (AI Context)
Perception
Agent-Based Modeling (ABM)
Goal-Oriented Agent
Behavior-Based Agent
Knowledge Representation
Action Selection
Feedback Loop
Retrieval-Augmented Generation (RAG)
State-of-the-Art (SOTA)
Zero-Shot Learning (ZSL)
Few-Shot Learning (FSL)
Explainable AI (XAI)
Transfer Learning
Knowledge Graph
Federated Learning
Active Learning
Meta-Learning
Adversarial Learning
Bayesian Inference
Ontology
Gradient Descent
Hyperparameter Tuning
Toxicity Controller
Reinforcement Learning from Human Feedback (RLHF)
Reinforcement Learning with AI Feedback (RLAIF)
Human-in-the-Loop (HITL)
Self-Reflection
Bias Mitigation
Safety-Critical AI
Reward Shaping
Curriculum Learning
Counterfactual Reasoning
Model-Agnostic Meta-Learning (MAML) for Agents
Hierarchical Reinforcement Learning (HRL)
Self-Supervised Learning for AI Agents