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- Human Engagement Description: Human Engagement in the context of explainable AI refers to the active participation of users in the design, development, and(...) Read more
- Hindsight Analysis Description: Hindsight Analysis is an approach that examines past decisions to understand their outcomes and improve future decision-making.(...) Read more
- Human-Centric Metrics Description: Human-centered metrics are evaluation tools that focus on measuring the impact of artificial intelligence (AI) systems on human(...) Read more
- Human-Algorithm Interaction Description: Human-algorithm interaction refers to the study of how humans relate to and communicate with algorithms, especially those using(...) Read more
- Human-Centric AI Design Description: Human-centered AI design refers to the creation of artificial intelligence systems that prioritize the needs, experiences, and(...) Read more
- Harmonization of AI Systems Description: The harmonization of AI systems refers to the process of ensuring that different artificial intelligence systems work together(...) Read more
- Human-Centric AI Governance Description: Human-Centric AI Governance is a framework that aims to manage artificial intelligence (AI) systems by prioritizing human(...) Read more
- Hindsight Experience Replay Description: Hindsight Experience Replay is a technique that allows machine learning agents to learn from past experiences by reinterpreting(...) Read more
- Hierarchical Reinforcement Learning Description: Hierarchical Reinforcement Learning (HRL) is an approach within reinforcement learning that breaks down complex tasks into more(...) Read more
- Heterogeneous Agents Description: Heterogeneous agents in the context of reinforcement learning are those that exhibit diverse characteristics or learning(...) Read more
- Habit Formation Description: Habit formation is the process by which behaviors become automatic through repetition. This phenomenon is based on the idea that by(...) Read more
- Hindsight Learning Description: Hindsight Learning is an approach that focuses on reflecting on past experiences with the aim of improving future performance. This(...) Read more
- Horizon Value Description: The horizon value in the context of reinforcement learning refers to the expected value of future rewards that an agent can obtain(...) Read more
- Homogeneous Policies Description: Homogeneous policies in the context of reinforcement learning refer to decision-making strategies that are uniform and consistent(...) Read more
- Harmonic Exploration Description: Harmonic Exploration is a strategy within reinforcement learning that seeks to effectively balance exploration and exploitation. In(...) Read more
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