Michael Laskin

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 33

Top Topics

Completely Unsupervised

Information Flows

Temporal Difference

Reinforcement Learning

Top Venues

Publications

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
In-context Reinforcement Learning with Algorithm Distillation. ICLR (2023)
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
Vision-Language Models as a Source of Rewards. CoRR (2023)
Denis Yarats, David Brandfonbrener, Hao Liu, Michael Laskin, Pieter Abbeel, Alessandro Lazaric, Lerrel Pinto
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning. CoRR (2022)
Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin
Hierarchical Few-Shot Imitation with Skill Transition Models. ICLR (2022)
Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Hansen, Angelos Filos, Ethan A. Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih
In-context Reinforcement Learning with Algorithm Distillation. CoRR (2022)
Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel
Unsupervised Reinforcement Learning with Contrastive Intrinsic Control. NeurIPS (2022)
Albert Zhan, Ruihan Zhao, Lerrel Pinto, Pieter Abbeel, Michael Laskin
Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation. IROS (2022)
Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery. CoRR (2022)
Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback. CoRR (2021)
Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel
URLB: Unsupervised Reinforcement Learning Benchmark. CoRR (2021)
Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin
Reinforcement Learning with Latent Flow. NeurIPS (2021)
Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch
Decision Transformer: Reinforcement Learning via Sequence Modeling. NeurIPS (2021)
Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel
URLB: Unsupervised Reinforcement Learning Benchmark. NeurIPS Datasets and Benchmarks (2021)
Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch
Decision Transformer: Reinforcement Learning via Sequence Modeling. CoRR (2021)
Alexander Talavirya, Michael Laskin
Discrete-event modelling of the capacity of the toll collection exit point and the formation of congestion. Int. J. Simul. Process. Model. 17 (2/3) (2021)
Adam Stooke, Kimin Lee, Pieter Abbeel, Michael Laskin
Decoupling Representation Learning from Reinforcement Learning. ICML (2021)
Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback. CoRL (2021)
Catherine Cang, Aravind Rajeswaran, Pieter Abbeel, Michael Laskin
Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL. CoRR (2021)
Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin
Hierarchical Few-Shot Imitation with Skill Transition Models. CoRR (2021)
Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin
Reinforcement Learning with Latent Flow. CoRR (2021)
Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning. ICML (2021)
Michael Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas
Reinforcement Learning with Augmented Data. CoRR (2020)
Michael Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas
Reinforcement Learning with Augmented Data. NeurIPS (2020)
Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning. CoRR (2020)
Scott Emmons, Ajay Jain, Michael Laskin, Thanard Kurutach, Pieter Abbeel, Deepak Pathak
Sparse Graphical Memory for Robust Planning. NeurIPS (2020)
Chris Heinrich, Michael Laskin, Simas Glinskis, Evert van Nieuwenburg
Roof Age Determination for the Automated Site-Selection of Rooftop Solar. CoRR (2020)
Aravind Srinivas, Michael Laskin, Pieter Abbeel
CURL: Contrastive Unsupervised Representations for Reinforcement Learning. CoRR (2020)
Albert Zhan, Philip Zhao, Lerrel Pinto, Pieter Abbeel, Michael Laskin
A Framework for Efficient Robotic Manipulation. CoRR (2020)
Michael Laskin, Luke Metz, Seth Nabarrao, Mark Saroufim, Badreddine Noune, Carlo Luschi, Jascha Sohl-Dickstein, Pieter Abbeel
Parallel Training of Deep Networks with Local Updates. CoRR (2020)
Michael Laskin, Aravind Srinivas, Pieter Abbeel
CURL: Contrastive Unsupervised Representations for Reinforcement Learning. ICML (2020)
Michael Laskin, Scott Emmons, Ajay Jain, Thanard Kurutach, Pieter Abbeel, Deepak Pathak
Sparse Graphical Memory for Robust Planning. CoRR (2020)
Adam Stooke, Kimin Lee, Pieter Abbeel, Michael Laskin
Decoupling Representation Learning from Reinforcement Learning. CoRR (2020)
Oleg Rusakov, Yuri V. Yakubovich, Michael Laskin
Self-Similarity for Information Flows With a Random Load Free on Distribution: the Long Memory Case. EECS (2018)