Słownik AI
Kompletny słownik sztucznej inteligencji
Intrinsic Motivation
Autonomous learning mechanism where the agent generates internal rewards based on its own curiosity or desire for mastery, independent of external environmental rewards.
Intrinsic Reward
Reward signal generated by the agent itself to encourage exploration and learning of new skills, often based on novelty, surprise, or progression.
Curiosity-Driven Learning
Learning approach where the agent is motivated by its curiosity, measuring the prediction error of its world model to generate intrinsic exploration rewards.
Empowerment
Information measure quantifying the control an agent can exert over its environment, used as an intrinsic reward to encourage learning of influential skills.
Hierarchical Policy
Multi-level decision architecture where high-level policies select options or sub-tasks, and low-level policies execute corresponding primitive actions.
Intrinsic Motivation Module
Computational component dedicated to calculating intrinsic rewards based on various metrics such as novelty, empowerment, or progression toward mastery.
Exploration-Exploitation Dilemma
Fundamental problem in reinforcement learning involving balancing the exploration of new possibilities and the exploitation of acquired knowledge.
Meta-Learning in HRL
Learning of automatic adaptation mechanisms for hierarchical structure and intrinsic motivations to optimize learning efficiency on new tasks.
Abstract State Representation
Simplified representation of the environment state capturing essential information for hierarchical decision-making and subgoal discovery.
Goal Generation
Autonomous process of creating intermediate objectives based on intrinsic motivations to guide exploration and structure hierarchical learning.
Intrinsic Reward Shaping
Dynamic modification of the reward function by adding intrinsic signals to accelerate convergence and improve learning efficiency.
Autonomous Goal Setting
Ability of an agent to define its own objectives without external intervention, using intrinsic motivation mechanisms to guide its development.
Hierarchy Discovery
Automatic process of identifying the optimal hierarchical structure for solving a task, based on analysis of state transitions and intrinsic rewards.