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Found 9 papers, 4 papers with code
Developing a Series of AI Challenges for the United States Department of the Air Force
Through a series of federal initiatives and orders, the U. S. Government has been making a concerted effort to ensure American leadership in AI.
MultiEarth 2022 -- Multimodal Learning for Earth and Environment Workshop and Challenge
The Multimodal Learning for Earth and Environment Challenge (MultiEarth 2022) will be the first competition aimed at the monitoring and analysis of deforestation in the Amazon rainforest at any time and in any weather conditions.
Topological Experience Replay
State-of-the-art deep Q-learning methods update Q-values using state transition tuples sampled from the experience replay buffer.
Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles
The motion planners used in self-driving vehicles need to generate trajectories that are safe, comfortable, and obey the traffic rules.
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video
Such models, however, are approximate, which limits their applicability.
Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight
Our core idea is that the adversarial examples targeting at a neural network-based policy are not effective for the frame prediction model.
Deep 360 Pilot: Learning a Deep Agent for Piloting Through 360deg Sports Videos
Given the main object and previously selected viewing angles, our method regresses a shift in viewing angle to move to the next one.
Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Video
Watching a 360{\deg} sports video requires a viewer to continuously select a viewing angle, either through a sequence of mouse clicks or head movements.
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents
In the strategically-timed attack, the adversary aims at minimizing the agent's reward by only attacking the agent at a small subset of time steps in an episode.
