Gerald Tesauro
17 papers · 1999–2022 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Conference Polyglot Β· Silver π Academic Marathon Β· Ultra π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Grand Slam
π
Keyword Champion
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Trend Setter
π
Century Club Β· Bronze
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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Conference Pioneer
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(87)
Top co-authors
Research topics
Artificial Intelligence
(13)
Core AI
(13)
Machine Learning
(10)
Reinforcement Learning
(10)
Methods
(10)
Learning Types Β· Machine Learning
(7)
Deep Learning
(3)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Natural Language Processing
(2)
Application Areas
(2)
Applications
(2)
Learning Paradigms
(2)
Computer Science
(1)
Computer Vision
(1)
Keywords
reinforcement learning
(6)
policy optimization
(3)
option learning
(3)
hierarchical reinforcement learning
(3)
temporal abstraction
(3)
multi-agent reinforcement learning
(3)
policy gradient
(2)
deep reinforcement learning
(2)
function approximation
(2)
multi-task learning
(1)
text classification
(1)
performance optimization
(1)
temporal difference learning
(1)
image retrieval
(1)
passage retrieval
(1)
imitation learning
(1)
commonsense knowledge
(1)
knowledge transfer
(1)
online learning
(1)
sequential decision making
(1)
Papers
Context-Specific Representation Abstraction for Deep Option Learning
AAAI 2022
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
NeurIPS 2022
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
ICML 2021
Efficient Black-Box Planning Using Macro-Actions with Focused Effects
IJCAI 2021
RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract)
AAAI 2021
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
AAAI 2021
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis
NeurIPS 2020
On the Role of Weight Sharing During Deep Option Learning
AAAI 2020
Hybrid Reinforcement Learning with Expert State Sequences
AAAI 2019
Learning to Teach in Cooperative Multiagent Reinforcement Learning
AAAI 2019
Dialog-based Interactive Image Retrieval
NeurIPS 2018
Diverse Few-Shot Text Classification with Multiple Metrics
NAACL 2018
Eigenoption Discovery through the Deep Successor Representation
ICLR 2018
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering
ICLR 2018
Learning Abstract Options
NeurIPS 2018
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
NeurIPS 2007
Metric Learning for Kernel Regression
AISTATS 1999