Hierarchical Reinforcement Learning by Discovering Intrinsic Options. | 0 | 0.34 | 2021 |
Learning to Synthesize Programs as Interpretable and Generalizable Policies. | 0 | 0.34 | 2021 |
Greenplum: A Hybrid Database for Transactional and Analytical Workloads | 0 | 0.34 | 2021 |
Hierarchical Reinforcement Learning By Discovering Intrinsic Options | 0 | 0.34 | 2021 |
Chaining Behaviors from Data with Model-Free Reinforcement Learning. | 0 | 0.34 | 2020 |
A Fourier-Based Approach to Generalization and Optimization in Deep Learning | 0 | 0.34 | 2020 |
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings | 0 | 0.34 | 2020 |
TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains | 0 | 0.34 | 2020 |
Towards a post-clustering test for differential expression | 0 | 0.34 | 2019 |
TRECVID 2019 - An evaluation campaign to benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & retrieval. | 0 | 0.34 | 2019 |
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning. | 0 | 0.34 | 2019 |
Generalizable Adversarial Training via Spectral Normalization. | 5 | 0.40 | 2018 |
Porcupine Neural Networks: (Almost) All Local Optima are Global. | 5 | 0.47 | 2017 |