Beyond Model Scaling: How Agent Training Shifts from Bulk Environments to Designed Worlds
Recent ACL 2026 papers (EnvScaler, AgentScaler, Echoverse, and Beyond Simply Environment Scaling) reveal a transition from merely increasing the number of training environments to carefully designing environment distributions that improve agent performance, with empirical evidence showing both gains and diminishing returns.
