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Found 3 papers, 2 papers with code
CGAR: Critic Guided Action Redistribution in Reinforcement Leaning
As discussed in this paper, under the settings of the off-policy actor critic algorithms, we demonstrate that the critic can bring more expected discounted rewards than or at least equal to the actor.
Fairness-aware Federated Learning
Federated Learning is a machine learning technique where a network of clients collaborates with a server to learn a centralized model while keeping data localized.
Spatiotemporal Attacks for Embodied Agents
Adversarial attacks are valuable for providing insights into the blind-spots of deep learning models and help improve their robustness.
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