David Hoeller
4 papers · 2019–2021 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Interdisciplinary Bridge ยท Gold
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Hot Topic Early Bird
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Conference Pioneer
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Research topics
Keywords
legged locomotion
(2)
model predictive control
(2)
value function
(2)
energy efficiency
(1)
importance sampling
(1)
trajectory optimization
(1)
actor-critic algorithm
(1)
sparse reward
(1)
obstacle avoidance
(1)
hierarchical control
(1)
quadrupedal robot
(1)
unmanned ground vehicle
(1)
sparse objective
(1)
quadruped robot
(1)
massively parallel training
(1)
deep reinforcement learning
(1)
contact-adaptive control
(1)
reinforcement learning
(1)
sim-to-real transfer
(1)
Papers
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
CoRL 2021
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion
CoRL 2020
Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot
L4DC 2020
Deep Value Model Predictive Control
CoRL 2019