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06/09/2023
Value function estimation using conditional diffusion models for control
A fairly reliable trend in deep reinforcement learning is that the perfo...
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03/31/2023
Accelerating exploration and representation learning with offline pre-training
Sequential decision-making agents struggle with long horizon tasks, sinc...
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11/03/2022
Contrastive Value Learning: Implicit Models for Simple Offline RL
Model-based reinforcement learning (RL) methods are appealing in the off...
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06/08/2022
Sequential Density Estimation via NCWFAs Sequential Density Estimation via Nonlinear Continuous Weighted Finite Automata
Weighted finite automata (WFAs) have been widely applied in many fields....
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03/19/2022
The Sandbox Environment for Generalizable Agent Research (SEGAR)
A broad challenge of research on generalization for sequential decision-...
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11/29/2021
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions
Reinforcement learning (RL) agents are widely used for solving complex s...
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06/04/2021
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL
A highly desirable property of a reinforcement learning (RL) agent – and...
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06/01/2021
Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Offline RL
We study session-based recommendation scenarios where we want to recomme...
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10/07/2020
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
Continual learning (CL) is a setting in which an agent has to learn from...
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06/12/2020
Deep Reinforcement and InfoMax Learning
Our work is based on the hypothesis that a model-free agent whose repres...
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02/07/2020
Provably efficient reconstruction of policy networks
Recent research has shown that learning poli-cies parametrized by large ...
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11/12/2019
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
Learning and planning in partially-observable domains is one of the most...
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09/17/2019
Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning
Continuous control tasks in reinforcement learning are important because...
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06/06/2019
Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization
We address the task of identifying densely connected subsets of multivar...
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05/16/2019
Leveraging exploration in off-policy algorithms via normalizing flows
Exploration is a crucial component for discovering approximately optimal...
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02/01/2019
Exploring attention mechanism for acoustic-based classification of speech utterances into system-directed and non-system-directed
Voice controlled virtual assistants (VAs) are now available in smartphon...
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07/31/2018
Online Adaptative Curriculum Learning for GANs
Generative Adversarial Networks (GANs) can successfully learn a probabil...
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05/13/2018
GAN Q-learning
Distributional reinforcement learning (distributional RL) has seen empir...
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11/12/2017