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Found 6 papers, 4 papers with code
Counterfactual experience augmented off-policy reinforcement learning
By providing reward signals for counterfactual state transitions based on real information, CEA constructs a complete counterfactual experience to alleviate the out-of-distribution problem of the learning data, and outperforms general SOTA algorithms in environments with difference properties.
xJailbreak: Representation Space Guided Reinforcement Learning for Interpretable LLM Jailbreaking
Safety alignment mechanism are essential for preventing large language models (LLMs) from generating harmful information or unethical content.
MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal Control
Reinforcement learning methods have proposed promising traffic signal control policy that can be trained on large road networks.
FATE: Full-head Gaussian Avatar with Textural Editing from Monocular Video
To the best of our knowledge, FATE is the first animatable and 360$^\circ$ full-head monocular reconstruction method for a 3D head avatar.
EmoTalk3D: High-Fidelity Free-View Synthesis of Emotional 3D Talking Head
We present a novel approach for synthesizing 3D talking heads with controllable emotion, featuring enhanced lip synchronization and rendering quality.
Do Deep Neural Networks Always Perform Better When Eating More Data?
Data has now become a shortcoming of deep learning.
