VLAJS augments PPO with sparse annealed VLA guidance through directional regularization to cut required interactions by over 50% on manipulation tasks and enable zero-shot sim-to-real transfer.
Reincarnating reinforcement learning: Reusing prior computation to accelerate progress.Advances in neural information processing systems, 35:28955–28971, 2022
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Jump-Start Reinforcement Learning with Vision-Language-Action Regularization
VLAJS augments PPO with sparse annealed VLA guidance through directional regularization to cut required interactions by over 50% on manipulation tasks and enable zero-shot sim-to-real transfer.