Playing Atari with Deep Reinforcement Learning
Efficient exploration remains a major challenge for reinforcement learning. (RL). Common dithering strategies for exploration, such as '-greedy, do.
Deepfake Video Detection Based on Spatial, Spectral, and ...Our method, TD-MPC, achieves superior sam- ple efficiency and asymptotic performance over prior work on both state and image-based con- tinuous control tasks ... Deep Exploration via Bootstrapped DQN - NIPSIn this paper, we present an exhaustive review of exist- ing neural networks-based approaches, i.e., both shallow and deep architectures, for Major Depressive ... Temporal Difference Learning for Model Predictive ControlThis disclosure describes deep learning techniques to select video thumbnails that are visually attractive and reflect the content of a video.
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