Michael Janner | DeepAI

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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...

0 Michael Janner, et al. ∙

∙ 05/22/2023

Training Diffusion Models with Reinforcement Learning

Diffusion models are a class of flexible generative models trained with ...

0 Kevin Black, et al. ∙

∙ 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...

0 Philippe Hansen-Estruch, et al. ∙

∙ 08/22/2022

Efficient Planning in a Compact Latent Action Space

While planning-based sequence modelling methods have shown great potenti...

4 Zhengyao Jiang, et al. ∙

∙ 06/21/2022

Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control

Learned models and policies can generalize effectively when evaluated wi...

0 Katie Kang, et al. ∙

∙ 05/20/2022

Planning with Diffusion for Flexible Behavior Synthesis

Model-based reinforcement learning methods often use learning only for t...

2 Michael Janner, et al. ∙

∙ 06/03/2021

Reinforcement Learning as One Big Sequence Modeling Problem

Reinforcement learning (RL) is typically concerned with estimating singl...

0 Michael Janner, et al. ∙

∙ 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...

15 Michael Janner, et al. ∙

∙ 10/28/2019

Entity Abstraction in Visual Model-Based Reinforcement Learning

This paper tests the hypothesis that modeling a scene in terms of entiti...

33 Rishi Veerapaneni, et al. ∙

∙ 06/19/2019

When to Trust Your Model: Model-Based Policy Optimization

Designing effective model-based reinforcement learning algorithms is dif...

0 Michael Janner, et al. ∙

∙ 12/28/2018

Reasoning About Physical Interactions with Object-Oriented Prediction and Planning

Object-based factorizations provide a useful level of abstraction for in...

14 Michael Janner, et al. ∙

∙ 11/10/2017

Self-Supervised Intrinsic Image Decomposition

Intrinsic decomposition from a single image is a highly challenging task...

0 Michael Janner, et al. ∙

∙ 07/13/2017

Representation Learning for Grounded Spatial Reasoning

The interpretation of spatial references is highly contextual, requiring...

0 Michael Janner, et al. ∙

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