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06/23/2023
GKD: Generalized Knowledge Distillation for Auto-regressive Sequence Models
Knowledge distillation is commonly used for compressing neural networks ...
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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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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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06/07/2021
Launchpad: A Programming Model for Distributed Machine Learning Research
A major driver behind the success of modern machine learning algorithms ...
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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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10/15/2019
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference
We present a modern scalable reinforcement learning agent called SEED (S...
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07/25/2019
