Stuart J. Russell
10 papers · 2019–2023 · 3 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🧭 Keyword Pioneer
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Trend Setter
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Prolific Year · Productive
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Century Club · Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(7)
Reinforcement Learning
(5)
Core AI
(5)
Learning Types · Machine Learning
(4)
Methods
(4)
Learning Paradigms
(2)
Optimization & Theory
(2)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Applications
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Keywords
imitation learning
(2)
sample complexity
(2)
sample efficiency
(1)
curriculum learning
(1)
benchmark suite
(1)
transfer learning
(1)
decision theory
(1)
behavior cloning
(1)
model-based reinforcement learning
(1)
preference learning
(1)
structure learning
(1)
pac learning
(1)
adversarial training
(1)
inverse reinforcement learning
(1)
offline reinforcement learning
(1)
markov decision process
(1)
kalman filter
(1)
online planning
(1)
deep reinforcement learning
(1)
causal inference
(1)
Papers
Bridging RL Theory and Practice with the Effective Horizon
NeurIPS 2023
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
NeurIPS 2021
MADE: Exploration via Maximizing Deviation from Explored Regions
NeurIPS 2021
PAC Learning of Causal Trees with Latent Variables
AAAI 2021
Scalable Online Planning via Reinforcement Learning Fine-Tuning
NeurIPS 2021
Uncertain Decisions Facilitate Better Preference Learning
NeurIPS 2021
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
NeurIPS 2020
SLIP: Learning to predict in unknown dynamical systems with long-term memory
NeurIPS 2020
The MAGICAL Benchmark for Robust Imitation
NeurIPS 2020
Cognitive model priors for predicting human decisions
ICML 2019