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09/19/2023
Learning Adaptive Safety for Multi-Agent Systems
Ensuring safety in dynamic multi-agent systems is challenging due to lim...
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08/29/2023
Enhancing Robot Learning through Learned Human-Attention Feature Maps
Robust and efficient learning remains a challenging problem in robotics,...
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10/20/2022
Safe Policy Improvement in Constrained Markov Decision Processes
The automatic synthesis of a policy through reinforcement learning (RL) ...
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10/06/2021
From STL Rulebooks to Rewards
The automatic synthesis of neural-network controllers for autonomous age...
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03/08/2021