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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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10/26/2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models
Meta-reinforcement learning algorithms can enable autonomous agents, suc...
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09/25/2019
Deep Dynamics Models for Learning Dexterous Manipulation
Dexterous multi-fingered hands can provide robots with the ability to fl...
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07/01/2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Deep reinforcement learning (RL) algorithms can use high-capacity deep n...
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12/18/2018
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Humans and animals can learn complex predictive models that allow them t...
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03/30/2018
Learning to Adapt: Meta-Learning for Model-Based Control
Although reinforcement learning methods can achieve impressive results i...
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02/05/2018
Expressive Robot Motion Timing
Our goal is to enable robots to time their motion in a way that is purpo...
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11/14/2017
Neural Network Dynamics Models for Control of Under-actuated Legged Millirobots
Millirobots are a promising robotic platform for many applications due t...
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08/08/2017
