Optimizing solely the planner with trajectory-level RL rewards in a decomposed multi-agent setup yields compute-efficient gains on long-horizon benchmarks.
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Planner Matters! An Efficient and Unbalanced Multi-agent Collaboration Framework for Long-horizon Planning
Optimizing solely the planner with trajectory-level RL rewards in a decomposed multi-agent setup yields compute-efficient gains on long-horizon benchmarks.