Peide Huang
6 papers · 2022–2024 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Silver
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Interdisciplinary Bridge ยท Bronze
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Taxonomy Completionist
(11)
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Research topics
Keywords
reinforcement learning
(1)
continual learning
(1)
sample efficiency
(1)
multi-task learning
(1)
sim-to-real transfer
(1)
domain adaptation
(1)
causal discovery
(1)
optimal transport
(1)
adversarial training
(1)
robust reinforcement learning
(1)
markov decision process
(1)
robotics control
(1)
constraint satisfaction
(1)
distributional robustness
(1)
robot manipulation
(1)
multi-objective optimization
(1)
safe reinforcement learning
(1)
parameter tuning
(1)
task distribution
(1)
stackelberg game
(1)
Papers
Gradient shaping for multi-constraint safe reinforcement learning
L4DC 2024
Continual Vision-based Reinforcement Learning with Group Symmetries
CoRL 2023
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
AISTATS 2023
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery
CoRL 2023
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
NeurIPS 2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
IJCAI 2022