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09/11/2023
Mind the Uncertainty: Risk-Aware and Actively Exploring Model-Based Reinforcement Learning
We introduce a simple but effective method for managing risk in model-ba...
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09/05/2023
Diffusion Generative Inverse Design
Inverse design refers to the problem of optimizing the input of an objec...
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07/21/2023
Diverse Offline Imitation via Fenchel Duality
There has been significant recent progress in the area of unsupervised s...
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07/19/2023
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
To avoid failures on out-of-distribution data, recent works have sought ...
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09/16/2022
Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions
Learning diverse skills is one of the main challenges in robotics. To th...
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06/23/2022
Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations
Learning agile skills is one of the main challenges in robotics. To this...
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05/30/2022
Gradient Backpropagation Through Combinatorial Algorithms: Identity with Projection Works
Embedding discrete solvers as differentiable layers has given modern dee...
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05/16/2022
Taming Continuous Posteriors for Latent Variational Dialogue Policies
Utilizing amortized variational inference for latent-action reinforcemen...
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02/15/2021
Neuro-algorithmic Policies enable Fast Combinatorial Generalization
Although model-based and model-free approaches to learning the control o...
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12/07/2019
Optimizing Rank-based Metrics with Blackbox Differentiation
Rank-based metrics are some of the most widely used criteria for perform...
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12/04/2019
