RESEARCH BASE
Search 3,721 documents across 34 fields — every claim tier-rated by evidence
3,633 are the core, quality-scored corpus (34 lettered sections — see How We Work); the remaining 88 are cross-corpus synthesis documents (68 InterDocs, 12 Connections, 8 Theories) also indexed here.
6 results for "reward"
ZD_2_11 — Reinforcement Learning: Agents, Rewards, and Sequential Decision-Making
Reinforcement learning (RL) is a paradigm of machine learning in which an agent learns to make sequential decisions by interacting with an environment, receiving rewards (or penalties) for its actions, and adjusting its
Y_1_18 — Addiction Neurochemistry: Reward Circuits, Tolerance & Therapeutic Frontiers
Addiction — now formally termed substance use disorder (SUD, DSM-5) — is a chronic, relapsing brain disorder characterized by compulsive drug seeking despite harmful consequences, affecting approximately 35 million peopl
X_4_15 — Addiction Medicine & Substance Abuse
Addiction medicine is a medical subspecialty formally recognised by the American Board of Medical Specialties (ABMS) in October 2015, though its intellectual roots stretch to Dr. Benjamin Rush's 1784 description of alcoh
T_2_07 — Psychology of Addiction
Addiction — compulsive engagement with a substance or behavior despite harmful consequences — is now understood as a chronic brain disorder involving neuroplastic changes in reward, motivation, memory, and executive cont
ZD_2_17 — AI Alignment & Existential Risk
AI alignment — the challenge of ensuring artificial intelligence systems pursue goals consistent with human values and intentions — has emerged as one of the defining technical and philosophical problems of the 21st cent
S_1_01 — Artificial General Intelligence and Existential Risk
Artificial General Intelligence — a system with human-level or greater cognitive capabilities across ALL domains — may be the most consequential invention in human history. Current foundational AI systems (GPT-4, Claude,
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