Oleh Rybkin | DeepAI

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∙ 03/23/2023

Planning Goals for Exploration

Dropped into an unknown environment, what should an agent do to quickly ...

0 Edward S. Hu, et al. ∙

∙ 10/23/2022

Learning General World Models in a Handful of Reward-Free Deployments

Building generally capable agents is a grand challenge for deep reinforc...

0 Yingchen Xu, et al. ∙

∙ 10/18/2021

Discovering and Achieving Goals via World Models

How can artificial agents learn to solve many diverse tasks in complex v...

8 Russell Mendonca, et al. ∙

∙ 07/19/2021

Know Thyself: Transferable Visuomotor Control Through Robot-Awareness

Training visuomotor robot controllers from scratch on a new robot typica...

4 Edward S. Hu, et al. ∙

∙ 06/24/2021

Model-Based Reinforcement Learning via Latent-Space Collocation

The ability to plan into the future while utilizing only raw high-dimens...

9 Oleh Rybkin, et al. ∙

∙ 11/12/2020

Reinforcement Learning with Videos: Combining Offline Observations with Interaction

Reinforcement learning is a powerful framework for robots to acquire ski...

15 Karl Schmeckpeper, et al. ∙

∙ 06/23/2020

Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors

The ability to predict and plan into the future is fundamental for agent...

8 Karl Pertsch, et al. ∙

∙ 06/23/2020

Simple and Effective VAE Training with Calibrated Decoders

Variational autoencoders (VAEs) provide an effective and simple method f...

22 Oleh Rybkin, et al. ∙

∙ 05/12/2020

Planning to Explore via Self-Supervised World Models

Reinforcement learning allows solving complex tasks, however, the learni...

2 Ramanan Sekar, et al. ∙

∙ 12/30/2019

Learning Predictive Models From Observation and Interaction

Learning predictive models from interaction with the world allows an age...

12 Karl Schmeckpeper, et al. ∙

∙ 04/11/2019

KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction

Real-world image sequences can often be naturally decomposed into a smal...

4 Karl Pertsch, et al. ∙

∙ 06/25/2018

Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction

Recently, much progress has been made building systems that can capture ...

0 Oleh Rybkin, et al. ∙

∙ 03/26/2018

Predicting the Future with Transformational States

An intelligent observer looks at the world and sees not only what is, bu...

0 Andrew Jaegle, et al. ∙

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