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11/14/2022
Deep Autoregressive Regression
In this work, we demonstrate that a major limitation of regression using...
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06/02/2022
When does return-conditioned supervised learning work for offline reinforcement learning?
Several recent works have proposed a class of algorithms for the offline...
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05/27/2022
Non-Markovian policies occupancy measures
A central object of study in Reinforcement Learning (RL) is the Markovia...
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09/15/2020
The Importance of Pessimism in Fixed-Dataset Policy Optimization
We study worst-case guarantees on the expected return of fixed-dataset p...
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06/06/2019
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
Many reinforcement learning (RL) tasks provide the agent with high-dimen...
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07/04/2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
Integrating model-free and model-based approaches in reinforcement learn...
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03/13/2018
Neural Lattice Language Models
In this work, we propose a new language modeling paradigm that has the a...
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02/23/2018