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Found 4 papers, 2 papers with code
Map-based Experience Replay: A Memory-Efficient Solution to Catastrophic Forgetting in Reinforcement Learning
Our approach organizes stored transitions into a concise environment-model-like network of state-nodes and transition-edges, merging similar samples to reduce the memory size and increase pair-wise distance among samples, which increases the relevancy of each sample.
GASP: Gated Attention For Saliency Prediction
We show that gaze direction and affective representations contribute a prediction to ground-truth correspondence improvement of at least 5% compared to dynamic saliency models without social cues.
Explain yourself! Effects of Explanations in Human-Robot Interaction
However, the results show that the robot that explains its moves is perceived as more lively and human-like.
Integrating Intrinsic and Extrinsic Explainability: The Relevance of Understanding Neural Networks for Human-Robot Interaction
However, not only can humans benefit from a robot's explanation but the robot itself can also benefit from explanations given to him.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
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