Unverified50% confidenceFactExact time
VASPO stands for Value-Augmented Self-Distillation Policy Optimization, and its architecture operates within the PPO framework, fusing self-distillation signals with PPO value estimation.
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10/15/2026
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UnverifiedThe traditional PPO algorithm requires simultaneously training a policy network and a value network (Critic/Value Model).64% similarVerifiedPPO (Proximal Policy Optimization) is a policy gradient algorithm proposed by OpenAI in 2017 that limits the magnitude of each policy update through a clipped objective function.64% similarVerifiedGRPO (Group Relative Policy Optimization) is an improved variant of PPO that requires no additional value network training; instead, it calculates the reward signal by sampling a group of responses to the same question and using intra-group relative performance as a baseline.63% similarUnverifiedProximal Policy Optimization (PPO) is the primary policy gradient algorithm tool for robot reinforcement learning.63% similarUnverifiedThe improvements of VASPO are consistently observed across different model scales and architectures, indicating that the method has good generalization.62% similar
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