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03/23/2023
Planning Goals for Exploration
Dropped into an unknown environment, what should an agent do to quickly ...
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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...
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10/18/2021
Discovering and Achieving Goals via World Models
How can artificial agents learn to solve many diverse tasks in complex v...
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07/19/2021
Know Thyself: Transferable Visuomotor Control Through Robot-Awareness
Training visuomotor robot controllers from scratch on a new robot typica...
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06/24/2021
Model-Based Reinforcement Learning via Latent-Space Collocation
The ability to plan into the future while utilizing only raw high-dimens...
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11/12/2020
Reinforcement Learning with Videos: Combining Offline Observations with Interaction
Reinforcement learning is a powerful framework for robots to acquire ski...
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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...
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06/23/2020
Simple and Effective VAE Training with Calibrated Decoders
Variational autoencoders (VAEs) provide an effective and simple method f...
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05/12/2020
Planning to Explore via Self-Supervised World Models
Reinforcement learning allows solving complex tasks, however, the learni...
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12/30/2019
Learning Predictive Models From Observation and Interaction
Learning predictive models from interaction with the world allows an age...
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04/11/2019
KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction
Real-world image sequences can often be naturally decomposed into a smal...
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06/25/2018
Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction
Recently, much progress has been made building systems that can capture ...
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03/26/2018
