Projects
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Clockwork Variational Autoencoders
Preprint -
Evaluating Agents without Rewards
BARL 2020 (oral) -
Skill Transfer via Partially Amortized Hierarchical Planning
ICLR 2021 (28%) -
Mastering Atari with Discrete World Models
ICLR 2021 (28%) -
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Planning to Explore via Self-Supervised World Models
ICML 2020 (22%) -
Dream to Control: Learning Behaviors by Latent Imagination
ICLR 2020 (oral, 4%), DRLW 2019 (oral) -
A Deep Learning Framework for Neuroscience
Nature Neuroscience -
Bayesian Layers: A Module for Neural Network Uncertainty
NeurIPS 2019, 21% -
Modulated Policy Hierarchies
DRLW 2018 -
Noise Contrastive Priors for Functional Uncertainty
UAI 2019 (26%) -
Learning Latent Dynamics for Planning from Pixels
ICML 2019 (oral, 23%) -
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
NeurIPS 2018 (oral, 0.6%) -
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
RSS 2018 (oral, 31%) -
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Probabilistic Routing for On-Street Parking Search
ESA 2016, oral, 27% -