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05/31/2023
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
Despite the seeming success of contemporary grounded text generation sys...
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05/02/2023
Get Back Here: Robust Imitation by Return-to-Distribution Planning
We consider the Imitation Learning (IL) setup where expert data are not ...
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09/14/2022
vec2text with Round-Trip Translations
We investigate models that can generate arbitrary natural language text ...
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05/19/2022
Learning Energy Networks with Generalized Fenchel-Young Losses
Energy-based models, a.k.a. energy networks, perform inference by optimi...
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11/04/2021
RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning
We introduce RLDS (Reinforcement Learning Datasets), an ecosystem for re...
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10/19/2021
Continuous Control with Action Quantization from Demonstrations
In Reinforcement Learning (RL), discrete actions, as opposed to continuo...
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06/11/2021
Offline Reinforcement Learning as Anti-Exploration
Offline Reinforcement Learning (RL) aims at learning an optimal control ...
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06/01/2021
What Matters for Adversarial Imitation Learning?
Adversarial imitation learning has become a popular framework for imitat...
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05/25/2021
Hyperparameter Selection for Imitation Learning
We address the issue of tuning hyperparameters (HPs) for imitation learn...
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03/02/2021
Offline Reinforcement Learning with Pseudometric Learning
Offline Reinforcement Learning methods seek to learn a policy from logge...
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06/23/2020
Show me the Way: Intrinsic Motivation from Demonstrations
The study of exploration in Reinforcement Learning (RL) has a long histo...
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06/10/2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
In recent years, on-policy reinforcement learning (RL) has been successf...
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06/08/2020
Primal Wasserstein Imitation Learning
Imitation Learning (IL) methods seek to match the behavior of an agent w...
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05/29/2019