A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets

10 October 2021

Papers citing "A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets"

7 / 7 papers shown

Title
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers Jake Grigsby Justin Sasek Samyak Parajuli Daniel Adebi Amy Zhang Yuke Zhu OffRL 26 2 0 17 Nov 2024
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents Jake Grigsby Linxi Fan Yuke Zhu OffRL LM&Ro 33 10 0 15 Oct 2023
Eliciting Compatible Demonstrations for Multi-Human Imitation Learning Kanishk Gandhi Siddharth Karamcheti Madeline Liao Dorsa Sadigh 39 21 0 14 Oct 2022
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning Rongjun Qin Songyi Gao Xingyuan Zhang Zhen Xu Shengkai Huang Zewen Li Weinan Zhang Yang Yu OffRL 132 78 0 01 Feb 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 212 508 0 15 Jan 2021
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics Arsenii Kuznetsov Pavel Shvechikov Alexander Grishin Dmitry Vetrov 136 185 0 08 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,951 0 04 May 2020