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Found 4 papers, 2 papers with code
Cost Sensitive Optimization of Deepfake Detector
Since the invention of cinema, the manipulated videos have existed.
Playing Minecraft with Behavioural Cloning
MineRL 2019 competition challenged participants to train sample-efficient agents to play Minecraft, by using a dataset of human gameplay and a limit number of steps the environment.
Do Autonomous Agents Benefit from Hearing?
In this work, we propose the use of audio as complementary information to visual only in state representation.
From Video Game to Real Robot: The Transfer between Action Spaces
Deep reinforcement learning has proven to be successful for learning tasks in simulated environments, but applying same techniques for robots in real-world domain is more challenging, as they require hours of training.
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