The paper introduces ANPS and SV-PPO to enable larger target policy updates in deep RL by approximating the next policy's visitation distribution during value function training.
Around iterationk= 50, PPO’s CNN critic over-estimates the value along the left wall
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2026 1verdicts
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Approximate Next Policy Sampling: Replacing Conservative Target Policy Updates in Deep RL
The paper introduces ANPS and SV-PPO to enable larger target policy updates in deep RL by approximating the next policy's visitation distribution during value function training.