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Part 2: Unsupervised Pre-Training in RL
Pieter Abbeel
Author Information
Pieter Abbeel (UC Berkeley & Covariant)
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2021 : Decision Transformer: Reinforcement Learning via Sequence Modeling »
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2021 : Hierarchical Few-Shot Imitation with Skill Transition Models »
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2021 : Explaining Reinforcement Learning Policies through Counterfactual Trajectories »
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2022 : Multimodal Masked Autoencoders Learn Transferable Representations »
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2023 Poster: Masked Trajectory Models for Prediction, Representation, and Control »
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2023 Poster: The Wisdom of Hindsight Makes Language Models Better Instruction Followers »
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2023 Poster: Guiding Pretraining in Reinforcement Learning with Large Language Models »
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2023 Poster: Emergent Agentic Transformer from Chain of Hindsight Experience »
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2023 Poster: Temporally Consistent Transformers for Video Generation »
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2023 Poster: CLUTR: Curriculum Learning via Unsupervised Task Representation Learning »
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2023 Poster: Controllability-Aware Unsupervised Skill Discovery »
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2023 Poster: Multi-Environment Pretraining Enables Transfer to Action Limited Datasets »
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2023 Poster: Multi-View Masked World Models for Visual Robotic Manipulation »
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2022 : Multimodal Masked Autoencoders Learn Transferable Representations »
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2022 Poster: Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks »
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2022 Poster: Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents »
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2022 Spotlight: Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks »
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2022 Spotlight: Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents »
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2022 Poster: Reinforcement Learning with Action-Free Pre-Training from Videos »
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2022 Spotlight: Reinforcement Learning with Action-Free Pre-Training from Videos »
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2021 : Panel Discussion »
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2021 : Invited Talk by Pieter Abbeel »
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2021 Poster: Decoupling Representation Learning from Reinforcement Learning »
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2021 Spotlight: Decoupling Representation Learning from Reinforcement Learning »
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2021 Poster: APS: Active Pretraining with Successor Features »
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2021 Poster: SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning »
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2021 Spotlight: SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning »
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2021 Oral: APS: Active Pretraining with Successor Features »
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2021 Poster: PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training »
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2021 Oral: PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training »
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2021 Poster: Unsupervised Learning of Visual 3D Keypoints for Control »
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2021 Poster: State Entropy Maximization with Random Encoders for Efficient Exploration »
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2021 Poster: MSA Transformer »
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2021 Spotlight: MSA Transformer »
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2021 Spotlight: State Entropy Maximization with Random Encoders for Efficient Exploration »
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2021 Spotlight: Unsupervised Learning of Visual 3D Keypoints for Control »
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2021 Tutorial: Unsupervised Learning for Reinforcement Learning »
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2020 Poster: CURL: Contrastive Unsupervised Representations for Reinforcement Learning »
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2020 Poster: Hallucinative Topological Memory for Zero-Shot Visual Planning »
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2020 Poster: Planning to Explore via Self-Supervised World Models »
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2020 Poster: Responsive Safety in Reinforcement Learning by PID Lagrangian Methods »
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2020 Poster: Variable Skipping for Autoregressive Range Density Estimation »
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2020 Poster: Hierarchically Decoupled Imitation For Morphological Transfer »
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2019 Workshop: Workshop on Self-Supervised Learning »
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2019 Poster: Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables »
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2019 Poster: On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference »
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2019 Oral: On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference »
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2019 Oral: Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables »
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2019 Poster: Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules »
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2019 Poster: Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design »
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2019 Poster: SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning »
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2019 Oral: Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design »
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2019 Oral: Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules »
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2019 Oral: SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning »
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2018 Poster: Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor »
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2018 Poster: PixelSNAIL: An Improved Autoregressive Generative Model »
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2018 Oral: Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor »
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2018 Oral: PixelSNAIL: An Improved Autoregressive Generative Model »
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2018 Poster: Automatic Goal Generation for Reinforcement Learning Agents »
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2018 Poster: Latent Space Policies for Hierarchical Reinforcement Learning »
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2018 Poster: Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings »
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2018 Poster: Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control »
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2018 Oral: Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control »
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2018 Oral: Automatic Goal Generation for Reinforcement Learning Agents »
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2018 Oral: Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings »
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2018 Oral: Latent Space Policies for Hierarchical Reinforcement Learning »
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2017 Poster: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks »
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2017 Poster: Prediction and Control with Temporal Segment Models »
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2017 Poster: Reinforcement Learning with Deep Energy-Based Policies »
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2017 Poster: Constrained Policy Optimization »
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2017 Talk: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks »
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2017 Talk: Reinforcement Learning with Deep Energy-Based Policies »
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2017 Talk: Constrained Policy Optimization »
Joshua Achiam · David Held · Aviv Tamar · Pieter Abbeel