Ronald Parr
7 papers · 2003–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (21) π Cross-Pollinator (15)
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(15)
π
Trend Setter
Conferences
NIPS (4)
ICML (2)
JMLR (1)
Top co-authors
Keywords
reinforcement learning
(3)
rashomon set
(2)
policy iteration
(2)
feature selection
(2)
transfer learning
(1)
policy learning
(1)
markov decision process
(1)
l1 regularization
(1)
label noise
(1)
value iteration
(1)
state representation
(1)
value function approximation
(1)
off-policy learning
(1)
policy improvement
(1)
partial observability
(1)
linear complementarity
(1)
homotopy path
(1)
action-value function
(1)
temporal difference
(1)
state representation learning
(1)
Papers
Using Noise to Infer Aspects of Simplicity Without Learning
NIPS 2024
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
NIPS 2024
Position: Amazing Things Come From Having Many Good Models
ICML 2024
A Path to Simpler Models Starts With Noise
NIPS 2023
Policy Caches with Successor Features
ICML 2021
Linear Complementarity for Regularized Policy Evaluation and Improvement
NIPS 2010
Least-Squares Policy Iteration
JMLR 2003