#implicit world modeling15/10/2025
Early Experience: Training Language Agents from Their Own Outcomes to Beat Imitation Learning
'Early Experience uses agent-generated future states as supervision to train language agents without rewards or large demo sets, outperforming imitation learning across eight benchmarks and improving RL initialization.'