Stephane Ross
7 papers · 2007–2016 · 4 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 ↓+4 more ↓ Show less ↑
π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (26) π Conference Polyglot Β· Bronze
π
Keyword Trendsetter Combo
(4)
π§
Keyword Pioneer
π
Trend Setter
π
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(6)
Learning Types
(6)
Artificial Intelligence
(5)
Reinforcement Learning
(4)
Core AI
(4)
Optimization & Theory
(4)
Core Methods
(3)
Methods
(3)
Applications
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Learning Paradigms
(1)
Optimization
(1)
Keywords
partially observable markov decision process
(3)
belief tracking
(2)
imitation learning
(2)
structured prediction
(2)
bayesian inference
(1)
belief state
(1)
approximate inference
(1)
trajectory prediction
(1)
bayesian learning
(1)
policy learning
(1)
heuristic search
(1)
exploration-exploitation tradeoff
(1)
document summarization
(1)
policy search
(1)
online planning
(1)
partially observable markov decision processes
(1)
value iteration
(1)
bayesian reinforcement learning
(1)
pomdp planning
(1)
online learning
(1)
Papers
A Credit Assignment Compiler for Joint Prediction
NeurIPS 2016
Learning Policies for Contextual Submodular Prediction
ICML 2013
A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes
JMLR 2011
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
AISTATS 2011
Efficient Reductions for Imitation Learning
AISTATS 2010
Bayes-Adaptive POMDPs
NeurIPS 2007
Theoretical Analysis of Heuristic Search Methods for Online POMDPs
NeurIPS 2007