Giansalvo Cirrincione
1 indexed paper
Recent (6 mo)
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126
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Robotics×1ML×1
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2026
Hierarchical Soft Actor-Critic for Sparse-Reward Long-Horizon Reinforcement Learning
The paper proposes a Hierarchical Reinforcement Learning framework with two levels for handling high-level strategic planning and low-level continuous-control using Soft Actor-Critic and entropy-regularized policy optimization. It outperforms flat SAC in sparse-reward long-horizon search tasks.
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