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ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning
ECHO-2 is a distributed RL framework that overlaps rollout generation, dissemination, and training with bounded policy staleness to improve cost efficiency while preserving rewards.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 13 on Hugging Face
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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5