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Found 6 papers, 1 papers with code
Variational Online Mirror Descent for Robust Learning in Schrödinger Bridge
As a result, we propose a simulation-free SB algorithm called Variational Mirrored Schr\"odinger Bridge (VMSB) by utilizing the Wasserstein-Fisher-Rao geometry of the Gaussian mixture parameterization for Schr\"odinger potentials.
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning
Recent machine learning algorithms have been developed using well-curated datasets, which often require substantial cost and resources.
EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object
We evaluate our method on the first-person video benchmark dataset, TREK-150, and on the custom dataset, RMOT-223, that we collect from the UR5e robot.
DUEL: Adaptive Duplicate Elimination on Working Memory for Self-Supervised Learning
In Self-Supervised Learning (SSL), it is known that frequent occurrences of the collision in which target data and its negative samples share the same class can decrease performance.
Robust Imitation via Mirror Descent Inverse Reinforcement Learning
Recently, adversarial imitation learning has shown a scalable reward acquisition method for inverse reinforcement learning (IRL) problems.
Unbiased learning with State-Conditioned Rewards in Adversarial Imitation Learning
The formulation draws a strong connection between adversarial learning and energy-based reinforcement learning; thus, the architecture is capable of recovering a reward function that induces a multi-modal policy.
