Noah Siegel
6 papers · 2019–2024 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
π
Conference Polyglot Β· Silver
π
Academic Marathon Β· Sprint
π
Interdisciplinary Bridge Β· Bronze
πΊοΈ
Taxonomy Completionist
(12)
π£
Hot Topic Early Bird
Top co-authors
Research topics
Keywords
policy optimization
(4)
transfer learning
(2)
robot manipulation
(2)
compositional learning
(1)
hierarchical reinforcement learning
(1)
continuous control
(1)
model-based reinforcement learning
(1)
batch learning
(1)
value function approximation
(1)
batch reinforcement learning
(1)
off-policy learning
(1)
temporal abstraction
(1)
data efficiency
(1)
label distribution
(1)
behavior model
(1)
offline rl
(1)
option learning
(1)
faithfulness metric
(1)
free-text explanation
(1)
large language model
(1)
Papers
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models
ACL 2024
Data-efficient Hindsight Off-policy Option Learning
ICML 2021
Compositional Transfer in Hierarchical Reinforcement Learning
RSS 2020
Critic Regularized Regression
NeurIPS 2020
Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning
ICLR 2020
Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models
CoRL 2019