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08/17/2023
Reinforced Self-Training (ReST) for Language Modeling
Reinforcement learning from human feedback (RLHF) can improve the qualit...
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08/07/2023
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning
StarCraft II is one of the most challenging simulated reinforcement lear...
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06/16/2023
π2vec: Policy Representations with Successor Features
This paper describes π2vec, a method for representing behaviors of black...
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05/21/2021
On Instrumental Variable Regression for Deep Offline Policy Evaluation
We show that the popular reinforcement learning (RL) strategy of estimat...
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04/28/2021
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization
Standard dynamics models for continuous control make use of feedforward ...
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03/30/2021
Benchmarks for Deep Off-Policy Evaluation
Off-policy evaluation (OPE) holds the promise of being able to leverage ...
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07/17/2020
Hyperparameter Selection for Offline Reinforcement Learning
Offline reinforcement learning (RL purely from logged data) is an import...
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06/24/2020
RL Unplugged: Benchmarks for Offline Reinforcement Learning
Offline methods for reinforcement learning have the potential to help br...
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06/01/2020
Acme: A Research Framework for Distributed Reinforcement Learning
Deep reinforcement learning has led to many recent-and groundbreaking-ad...
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10/22/2019
Improving the Gating Mechanism of Recurrent Neural Networks
Gating mechanisms are widely used in neural network models, where they a...
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09/03/2019
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
This paper introduces R2D3, an agent that makes efficient use of demonst...
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10/11/2018
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL
Humans are experts at high-fidelity imitation -- closely mimicking a dem...
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05/29/2018
Playing hard exploration games by watching YouTube
Deep reinforcement learning methods traditionally struggle with tasks wh...
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04/20/2017
Fast Generation for Convolutional Autoregressive Models
Convolutional autoregressive models have recently demonstrated state-of-...
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02/26/2016
Seq-NMS for Video Object Detection
Video object detection is challenging because objects that are easily de...
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02/24/2016
How Deep Neural Networks Can Improve Emotion Recognition on Video Data
We consider the task of dimensional emotion recognition on video data us...
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10/10/2015
Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?
Despite being the appearance-based classifier of choice in recent years,...
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12/20/2014