Rowan Thomas McAllister
6 papers · 2021–2023 · 4 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 Bronze
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Taxonomy Completionist
(14)
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The Questioner
(2)
Top co-authors
Research topics
Keywords
trajectory prediction
(2)
causal inference
(2)
representation learning
(1)
reinforcement learning
(1)
offline reinforcement learning
(1)
robust planning
(1)
policy optimization
(1)
domain adaptation
(1)
latent state space
(1)
reward function
(1)
reward learning
(1)
partially observable environment
(1)
latent representation
(1)
reward shaping
(1)
bisimulation metric
(1)
out-of-distribution state
(1)
active sampling
(1)
control barrier function
(1)
visuomotor control
(1)
expected cost
(1)
Papers
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?
CLeaR 2023
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States
L4DC 2023
Dynamics-Aware Comparison of Learned Reward Functions
ICLR 2022
Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty
CoRL 2022
RAP: Risk-Aware Prediction for Robust Planning
CoRL 2022
Learning Invariant Representations for Reinforcement Learning without Reconstruction
ICLR 2021