More from the Same Authors

• 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
• 2021 : Data-Efficient Exploration with Self Play for Atari »
  Michael Laskin · Catherine Cang · Ryan Rudes · Pieter Abbeel
• 2021 : Hierarchical Few-Shot Imitation with Skill Transition Models »
  kourosh hakhamaneshi · Ruihan Zhao · Albert Zhan · Pieter Abbeel · Michael Laskin
• 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
• 2021 : Explaining Reinforcement Learning Policies through Counterfactual Trajectories »
  Julius Frost · Olivia Watkins · Eric Weiner · Pieter Abbeel · Trevor Darrell · Bryan Plummer · Kate Saenko
• 2022 : Multimodal Masked Autoencoders Learn Transferable Representations »
  Xinyang Geng · Hao Liu · Lisa Lee · Dale Schuurmans · Sergey Levine · Pieter Abbeel
• 2023 : Blockwise Parallel Transformer for Long Context Large Models »
  Hao Liu · Pieter Abbeel
• 2023 Poster: Masked Trajectory Models for Prediction, Representation, and Control »
  Philipp Wu · Arjun Majumdar · Kevin Stone · Yixin Lin · Igor Mordatch · Pieter Abbeel · Aravind Rajeswaran
• 2023 Poster: Multi-Environment Pretraining Enables Transfer to Action Limited Datasets »
  David Venuto · Mengjiao Yang · Pieter Abbeel · Doina Precup · Igor Mordatch · Ofir Nachum
• 2023 Poster: Guiding Pretraining in Reinforcement Learning with Large Language Models »
  Yuqing Du · Olivia Watkins · Zihan Wang · Cédric Colas · Trevor Darrell · Pieter Abbeel · Abhishek Gupta · Jacob Andreas
• 2023 Poster: Controllability-Aware Unsupervised Skill Discovery »
  Seohong Park · Kimin Lee · Youngwoon Lee · Pieter Abbeel
• 2023 Poster: Emergent Agentic Transformer from Chain of Hindsight Experience »
  Hao Liu · Pieter Abbeel
• 2023 Poster: Temporally Consistent Transformers for Video Generation »
  Wilson Yan · Danijar Hafner · Stephen James · Pieter Abbeel
• 2023 Poster: CLUTR: Curriculum Learning via Unsupervised Task Representation Learning »
  Abdus Salam Azad · Izzeddin Gur · Jasper Emhoff · Nathaniel Alexis · Aleksandra Faust · Pieter Abbeel · Ion Stoica
• 2023 Poster: Multi-View Masked World Models for Visual Robotic Manipulation »
  Younggyo Seo · Junsu Kim · Stephen James · Kimin Lee · Jinwoo Shin · Pieter Abbeel
• 2023 Poster: The Wisdom of Hindsight Makes Language Models Better Instruction Followers »
  Tianjun Zhang · Fangchen Liu · Justin Wong · Pieter Abbeel · Joseph E Gonzalez
• 2022 : Multimodal Masked Autoencoders Learn Transferable Representations »
  Xinyang Geng · Hao Liu · Lisa Lee · Dale Schuurmans · Sergey Levine · Pieter Abbeel
• 2022 Poster: Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks »
  Litian Liang · Yaosheng Xu · Stephen Mcaleer · Dailin Hu · Alexander Ihler · Pieter Abbeel · Roy Fox
• 2022 Poster: Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents »
  Wenlong Huang · Pieter Abbeel · Deepak Pathak · Igor Mordatch
• 2022 Spotlight: Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks »
  Litian Liang · Yaosheng Xu · Stephen Mcaleer · Dailin Hu · Alexander Ihler · Pieter Abbeel · Roy Fox
• 2022 Spotlight: Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents »
  Wenlong Huang · Pieter Abbeel · Deepak Pathak · Igor Mordatch
• 2022 Poster: Reinforcement Learning with Action-Free Pre-Training from Videos »
  Younggyo Seo · Kimin Lee · Stephen James · Pieter Abbeel
• 2022 Spotlight: Reinforcement Learning with Action-Free Pre-Training from Videos »
  Younggyo Seo · Kimin Lee · Stephen James · Pieter Abbeel
• 2021 : Panel Discussion »
  Rosemary Nan Ke · Danijar Hafner · Pieter Abbeel · Chelsea Finn · Chelsea Finn
• 2021 : Invited Talk by Pieter Abbeel »
  Pieter Abbeel
• 2021 Poster: Decoupling Representation Learning from Reinforcement Learning »
  Adam Stooke · Kimin Lee · Pieter Abbeel · Michael Laskin
• 2021 Spotlight: Decoupling Representation Learning from Reinforcement Learning »
  Adam Stooke · Kimin Lee · Pieter Abbeel · Michael Laskin
• 2021 Poster: APS: Active Pretraining with Successor Features »
  Hao Liu · Pieter Abbeel
• 2021 Poster: SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning »
  Kimin Lee · Michael Laskin · Aravind Srinivas · Pieter Abbeel
• 2021 Spotlight: SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning »
  Kimin Lee · Michael Laskin · Aravind Srinivas · Pieter Abbeel
• 2021 Oral: APS: Active Pretraining with Successor Features »
  Hao Liu · Pieter Abbeel
• 2021 Poster: PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training »
  Kimin Lee · Laura Smith · Pieter Abbeel
• 2021 Oral: PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training »
  Kimin Lee · Laura Smith · Pieter Abbeel
• 2021 Poster: Unsupervised Learning of Visual 3D Keypoints for Control »
  Boyuan Chen · Pieter Abbeel · Deepak Pathak
• 2021 Poster: State Entropy Maximization with Random Encoders for Efficient Exploration »
  Younggyo Seo · Lili Chen · Jinwoo Shin · Honglak Lee · Pieter Abbeel · Kimin Lee
• 2021 Poster: MSA Transformer »
  Roshan Rao · Jason Liu · Robert Verkuil · Joshua Meier · John Canny · Pieter Abbeel · Tom Sercu · Alexander Rives
• 2021 Spotlight: MSA Transformer »
  Roshan Rao · Jason Liu · Robert Verkuil · Joshua Meier · John Canny · Pieter Abbeel · Tom Sercu · Alexander Rives
• 2021 Spotlight: State Entropy Maximization with Random Encoders for Efficient Exploration »
  Younggyo Seo · Lili Chen · Jinwoo Shin · Honglak Lee · Pieter Abbeel · Kimin Lee
• 2021 Spotlight: Unsupervised Learning of Visual 3D Keypoints for Control »
  Boyuan Chen · Pieter Abbeel · Deepak Pathak
• 2021 Tutorial: Unsupervised Learning for Reinforcement Learning »
  Aravind Srinivas · Pieter Abbeel
• 2020 Poster: CURL: Contrastive Unsupervised Representations for Reinforcement Learning »
  Michael Laskin · Aravind Srinivas · Pieter Abbeel
• 2020 Poster: Hallucinative Topological Memory for Zero-Shot Visual Planning »
  Kara Liu · Thanard Kurutach · Christine Tung · Pieter Abbeel · Aviv Tamar
• 2020 Poster: Planning to Explore via Self-Supervised World Models »
  Ramanan Sekar · Oleh Rybkin · Kostas Daniilidis · Pieter Abbeel · Danijar Hafner · Deepak Pathak
• 2020 Poster: Responsive Safety in Reinforcement Learning by PID Lagrangian Methods »
  Adam Stooke · Joshua Achiam · Pieter Abbeel
• 2020 Poster: Variable Skipping for Autoregressive Range Density Estimation »
  Eric Liang · Zongheng Yang · Ion Stoica · Pieter Abbeel · Yan Duan · Peter Chen
• 2020 Poster: Hierarchically Decoupled Imitation For Morphological Transfer »
  Donald Hejna · Lerrel Pinto · Pieter Abbeel
• 2019 Workshop: Workshop on Self-Supervised Learning »
  Aaron van den Oord · Yusuf Aytar · Carl Doersch · Carl Vondrick · Alec Radford · Pierre Sermanet · Amir Zamir · Pieter Abbeel
• 2019 Poster: Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables »
  Friso Kingma · Pieter Abbeel · Jonathan Ho
• 2019 Poster: On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference »
  Rohin Shah · Noah Gundotra · Pieter Abbeel · Anca Dragan
• 2019 Oral: On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference »
  Rohin Shah · Noah Gundotra · Pieter Abbeel · Anca Dragan
• 2019 Oral: Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables »
  Friso Kingma · Pieter Abbeel · Jonathan Ho
• 2019 Poster: Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules »
  Daniel Ho · Eric Liang · Peter Chen · Ion Stoica · Pieter Abbeel
• 2019 Poster: Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design »
  Jonathan Ho · Peter Chen · Aravind Srinivas · Rocky Duan · Pieter Abbeel
• 2019 Poster: SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning »
  Marvin Zhang · Sharad Vikram · Laura Smith · Pieter Abbeel · Matthew Johnson · Sergey Levine
• 2019 Oral: Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design »
  Jonathan Ho · Peter Chen · Aravind Srinivas · Rocky Duan · Pieter Abbeel
• 2019 Oral: Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules »
  Daniel Ho · Eric Liang · Peter Chen · Ion Stoica · Pieter Abbeel
• 2019 Oral: SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning »
  Marvin Zhang · Sharad Vikram · Laura Smith · Pieter Abbeel · Matthew Johnson · Sergey Levine
• 2018 Poster: Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor »
  Tuomas Haarnoja · Aurick Zhou · Pieter Abbeel · Sergey Levine
• 2018 Poster: PixelSNAIL: An Improved Autoregressive Generative Model »
  Xi Chen · Nikhil Mishra · Mostafa Rohaninejad · Pieter Abbeel
• 2018 Oral: Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor »
  Tuomas Haarnoja · Aurick Zhou · Pieter Abbeel · Sergey Levine
• 2018 Oral: PixelSNAIL: An Improved Autoregressive Generative Model »
  Xi Chen · Nikhil Mishra · Mostafa Rohaninejad · Pieter Abbeel
• 2018 Poster: Automatic Goal Generation for Reinforcement Learning Agents »
  Carlos Florensa · David Held · Xinyang Geng · Pieter Abbeel
• 2018 Poster: Latent Space Policies for Hierarchical Reinforcement Learning »
  Tuomas Haarnoja · Kristian Hartikainen · Pieter Abbeel · Sergey Levine
• 2018 Poster: Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings »
  John Co-Reyes · Yu Xuan Liu · Abhishek Gupta · Benjamin Eysenbach · Pieter Abbeel · Sergey Levine
• 2018 Poster: Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control »
  Aravind Srinivas · Allan Jabri · Pieter Abbeel · Sergey Levine · Chelsea Finn
• 2018 Oral: Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control »
  Aravind Srinivas · Allan Jabri · Pieter Abbeel · Sergey Levine · Chelsea Finn
• 2018 Oral: Automatic Goal Generation for Reinforcement Learning Agents »
  Carlos Florensa · David Held · Xinyang Geng · Pieter Abbeel
• 2018 Oral: Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings »
  John Co-Reyes · Yu Xuan Liu · Abhishek Gupta · Benjamin Eysenbach · Pieter Abbeel · Sergey Levine
• 2018 Oral: Latent Space Policies for Hierarchical Reinforcement Learning »
  Tuomas Haarnoja · Kristian Hartikainen · Pieter Abbeel · Sergey Levine
• 2017 Poster: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks »
  Chelsea Finn · Pieter Abbeel · Sergey Levine
• 2017 Poster: Prediction and Control with Temporal Segment Models »
  Nikhil Mishra · Pieter Abbeel · Igor Mordatch
• 2017 Poster: Reinforcement Learning with Deep Energy-Based Policies »
  Tuomas Haarnoja · Haoran Tang · Pieter Abbeel · Sergey Levine
• 2017 Poster: Constrained Policy Optimization »
  Joshua Achiam · David Held · Aviv Tamar · Pieter Abbeel
• 2017 Talk: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks »
  Chelsea Finn · Pieter Abbeel · Sergey Levine
• 2017 Talk: Prediction and Control with Temporal Segment Models »
  Nikhil Mishra · Pieter Abbeel · Igor Mordatch
• 2017 Talk: Reinforcement Learning with Deep Energy-Based Policies »
  Tuomas Haarnoja · Haoran Tang · Pieter Abbeel · Sergey Levine
• 2017 Talk: Constrained Policy Optimization »
  Joshua Achiam · David Held · Aviv Tamar · Pieter Abbeel