Jul 2, 2026 · Artificial Intelligence

How AReaL 2.0 Accelerates Self‑Evolving Agents

AReaL 2.0 introduces an online reinforcement‑learning infrastructure that turns real‑world agent interactions into a learning loop, defining three pillars—trajectory data protocol, data proxy, and evolution control plane—to enable agents to not only execute tasks but continuously improve from their own experience.

AReaLAgentic RLLLM Agents

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How AReaL 2.0 Accelerates Self‑Evolving Agents

Tencent Cloud Developer

Apr 24, 2020 · Backend Development

Mask Reservation Mini‑Program: From Perfect Experience to Lossy Service – Architecture and Design

During the COVID‑19 pandemic, Tencent and Guangzhou built the “Suikang” mask‑reservation mini‑program in two days, handling 1.7 billion visits by shifting from real‑time inventory checks to a four‑layer “lossy” architecture—CDN caching, batch releases, Redis, Kafka queues, and asynchronous processing—to trade consistency for high availability and rapid response.

CAP theoremHigh concurrencyKafka

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Mask Reservation Mini‑Program: From Perfect Experience to Lossy Service – Architecture and Design

Microservice Architecture

How AReaL 2.0 Accelerates Self‑Evolving Agents

Mask Reservation Mini‑Program: From Perfect Experience to Lossy Service – Architecture and Design

How AReaL 2.0 Accelerates Self‑Evolving Agents