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12/17/2021
Autonomous Reinforcement Learning: Formalism and Benchmarking
Reinforcement learning (RL) provides a naturalistic framing for learning...
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11/10/2020
Continual Learning of Control Primitives: Skill Discovery via Reset-Games
Reinforcement learning has the potential to automate the acquisition of ...
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03/07/2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Few-shot classification refers to learning a classifier for new classes ...
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06/07/2018
Probabilistic Model-Agnostic Meta-Learning
Meta-learning for few-shot learning entails acquiring a prior over previ...
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05/31/2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
A significant challenge for the practical application of reinforcement l...
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07/06/2017
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
Trust region methods, such as TRPO, are often used to stabilize policy o...
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02/28/2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning
We establish a new connection between value and policy based reinforceme...
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12/20/2016
Unsupervised Perceptual Rewards for Imitation Learning
Reward function design and exploration time are arguably the biggest obs...
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05/09/2016
Theano: A Python framework for fast computation of mathematical expressions
Theano is a Python library that allows to define, optimize, and evaluate...
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03/11/2015
On Using Monolingual Corpora in Neural Machine Translation
Recent work on end-to-end neural network-based architectures for machine...
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02/10/2015