Ronald Parr
7 papers · 2003–2024 · 3 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Ultra π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (16)
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Keyword Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(6)
Reinforcement Learning
(4)
Methods
(4)
Optimization & Theory
(4)
Core Methods
(3)
Learning Types Β· Machine Learning
(3)
Artificial Intelligence
(1)
Deep Learning
(1)
Mathematics & Optimization
(1)
Applications
(1)
Core AI
(1)
Learning Types Β· Deep Learning
(1)
Optimization
(1)
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)
least-squares temporal difference
(1)
action-value function
(1)
temporal difference
(1)
Papers
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
NeurIPS 2024
Position: Amazing Things Come From Having Many Good Models
ICML 2024
Using Noise to Infer Aspects of Simplicity Without Learning
NeurIPS 2024
A Path to Simpler Models Starts With Noise
NeurIPS 2023
Policy Caches with Successor Features
ICML 2021
Linear Complementarity for Regularized Policy Evaluation and Improvement
NeurIPS 2010
Least-Squares Policy Iteration
JMLR 2003