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06/15/2023
Deep Generative Models for Decision-Making and Control
Deep model-based reinforcement learning methods offer a conceptually sim...
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05/22/2023
Training Diffusion Models with Reinforcement Learning
Diffusion models are a class of flexible generative models trained with ...
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04/20/2023
IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies
Effective offline RL methods require properly handling out-of-distributi...
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08/22/2022
Efficient Planning in a Compact Latent Action Space
While planning-based sequence modelling methods have shown great potenti...
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06/21/2022
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control
Learned models and policies can generalize effectively when evaluated wi...
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05/20/2022
Planning with Diffusion for Flexible Behavior Synthesis
Model-based reinforcement learning methods often use learning only for t...
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06/03/2021
Reinforcement Learning as One Big Sequence Modeling Problem
Reinforcement learning (RL) is typically concerned with estimating singl...
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10/27/2020
γ-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction
We introduce the γ-model, a predictive model of environment dynamics wit...
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10/28/2019
Entity Abstraction in Visual Model-Based Reinforcement Learning
This paper tests the hypothesis that modeling a scene in terms of entiti...
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06/19/2019
When to Trust Your Model: Model-Based Policy Optimization
Designing effective model-based reinforcement learning algorithms is dif...
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12/28/2018
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning
Object-based factorizations provide a useful level of abstraction for in...
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11/10/2017
Self-Supervised Intrinsic Image Decomposition
Intrinsic decomposition from a single image is a highly challenging task...
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07/13/2017
