Reward design details — latency penalties vs collaboration bonuses — decide multi-agent RL
rosstaylor90 · x · 2026-10-25
A researcher at an open science lab argues the real question in multi-agent RL isn't whether collective reward equals shared reward, but which design details matter: should we use DeepSeek-style latency penalties or the latency schedule used in Avalon? What did DeepSeek's collaboration bonus look like versus their underhire penalty, and did DeepSeek mask or penalise any subagent trajectories? These details, the author says, are what actually make a working recipe for a simple objective.
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