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06/20/2023
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
Pre-training robot policies with a rich set of skills can substantially ...
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03/09/2023
Hierarchical Neural Program Synthesis
Program synthesis aims to automatically construct human-readable program...
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08/31/2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies
Recently, deep reinforcement learning (DRL) methods have achieved impres...
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04/27/2021
TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains
The TREC Video Retrieval Evaluation (TRECVID) is a TREC-style video anal...
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03/20/2021
Greenplum: A Hybrid Database for Transactional and Analytical Workloads
Demand for enterprise data warehouse solutions to support real-time Onli...
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01/16/2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
We propose a hierarchical reinforcement learning method, HIDIO, that can...
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10/27/2020
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
Reinforcement learning has been applied to a wide variety of robotics pr...
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09/21/2020
TRECVID 2019: An Evaluation Campaign to Benchmark Video Activity Detection, Video Captioning and Matching, and Video Search Retrieval
The TREC Video Retrieval Evaluation (TRECVID) 2019 was a TREC-style vide...
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08/15/2020
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings
Reinforcement learning (RL) in real-world safety-critical target setting...
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09/30/2019
Unsupervised Projection Networks for Generative Adversarial Networks
We propose the use of unsupervised learning to train projection networks...
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05/17/2019
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning
Standardized evaluation measures have aided in the progress of machine l...
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10/05/2017