Nicola Piovesan
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126
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ML×1AI×1
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2026
HPO: Hysteretic Policy Optimization for Stable and Efficient Training under Sparse-Reward Regime
The paper proposes Hysteretic Policy Optimization (HPO) and its adaptive variant (A-HPO) to stabilize reinforcement learning training in sparse-reward environments by better balancing positive and negative advantage updates.
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