Michael Laskin

According to our database, Michael Laskin authored at least 22 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Vision-Language Models as a Source of Rewards.

Kate Baumli, Satinder Baveja, Feryal M. P. Behbahani, Harris Chan, Gheorghe Comanici, Sebastian Flennerhag, Maxime Gazeau, Kristian Holsheimer, Dan Horgan, Michael Laskin, Clare Lyle, Hussain Masoom, Kay McKinney, Volodymyr Mnih, Alexander Neitz, Fabio Pardo, Jack Parker-Holder, John Quan, Tim Rocktäschel, Himanshu Sahni, Tom Schaul, Yannick Schroecker, Stephen Spencer, Richie Steigerwald, Luyu Wang, Lei Zhang

CoRR, 2023

In-context Reinforcement Learning with Algorithm Distillation.

Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Stenberg Hansen, Angelos Filos, Ethan A. Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery.

Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel

CoRR, 2022

Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning.

Denis Yarats, David Brandfonbrener, Hao Liu, Michael Laskin, Pieter Abbeel, Alessandro Lazaric, Lerrel Pinto

CoRR, 2022

Unsupervised Reinforcement Learning with Contrastive Intrinsic Control.

Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation.

Albert Zhan, Ruihan Zhao, Lerrel Pinto, Pieter Abbeel, Michael Laskin

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Hierarchical Few-Shot Imitation with Skill Transition Models.

Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Discrete-event modelling of the capacity of the toll collection exit point and the formation of congestion.

Alexander Talavirya, Michael Laskin

Int. J. Simul. Process. Model., 2021

Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL.

Catherine Cang, Aravind Rajeswaran, Pieter Abbeel, Michael Laskin

CoRR, 2021

Reinforcement Learning with Latent Flow.

Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

URLB: Unsupervised Reinforcement Learning Benchmark.

Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Decision Transformer: Reinforcement Learning via Sequence Modeling.

Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Decoupling Representation Learning from Reinforcement Learning.

Adam Stooke, Kimin Lee, Pieter Abbeel, Michael Laskin

Proceedings of the 38th International Conference on Machine Learning, 2021

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning.

Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel

Proceedings of the 38th International Conference on Machine Learning, 2021

Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback.

Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

A Framework for Efficient Robotic Manipulation.

Albert Zhan, Philip Zhao, Lerrel Pinto, Pieter Abbeel, Michael Laskin

CoRR, 2020

Parallel Training of Deep Networks with Local Updates.

Michael Laskin, Luke Metz, Seth Nabarrao, Mark Saroufim, Badreddine Noune, Carlo Luschi, Jascha Sohl-Dickstein, Pieter Abbeel

CoRR, 2020

Roof Age Determination for the Automated Site-Selection of Rooftop Solar.

Chris Heinrich, Michael Laskin, Simas Glinskis, Evert P. L. van Nieuwenburg

CoRR, 2020

Reinforcement Learning with Augmented Data.

Michael Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sparse Graphical Memory for Robust Planning.

Scott Emmons, Ajay Jain, Michael Laskin, Thanard Kurutach, Pieter Abbeel, Deepak Pathak

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

CURL: Contrastive Unsupervised Representations for Reinforcement Learning.

Michael Laskin, Aravind Srinivas, Pieter Abbeel

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

Self-Similarity for Information Flows With a Random Load Free on Distribution: the Long Memory Case.

Oleg Rusakov, Yuri V. Yakubovich, Michael Laskin

Proceedings of the 2nd European Conference on Electrical Engineering and Computer Science, 2018