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10/25/2022
In-context Reinforcement Learning with Algorithm Distillation
We propose Algorithm Distillation (AD), a method for distilling reinforc...
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02/01/2022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
We introduce Contrastive Intrinsic Control (CIC), an algorithm for unsup...
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01/31/2022
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning
Recent progress in deep learning has relied on access to large and diver...
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10/28/2021
URLB: Unsupervised Reinforcement Learning Benchmark
Deep Reinforcement Learning (RL) has emerged as a powerful paradigm to s...
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08/11/2021
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback
A promising approach to solving challenging long-horizon tasks has been ...
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07/19/2021
Hierarchical Few-Shot Imitation with Skill Transition Models
A desirable property of autonomous agents is the ability to both solve l...
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06/16/2021
Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL
Offline Reinforcement Learning (RL) aims to extract near-optimal policie...
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06/02/2021
Decision Transformer: Reinforcement Learning via Sequence Modeling
We present a framework that abstracts Reinforcement Learning (RL) as a s...
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12/14/2020
A Framework for Efficient Robotic Manipulation
Data-efficient learning of manipulation policies from visual observation...
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12/07/2020
Parallel Training of Deep Networks with Local Updates
Deep learning models trained on large data sets have been widely success...
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09/14/2020
Decoupling Representation Learning from Reinforcement Learning
In an effort to overcome limitations of reward-driven feature learning i...
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07/09/2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Model-free deep reinforcement learning (RL) has been successful in a ran...
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04/30/2020
Reinforcement Learning with Augmented Data
Learning from visual observations is a fundamental yet challenging probl...
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04/08/2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
We present CURL: Contrastive Unsupervised Representations for Reinforcem...
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03/13/2020
Sparse Graphical Memory for Robust Planning
To operate effectively in the real world, artificial agents must act fro...
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01/08/2020
