Joel Lehman
10 papers · 2018–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Academic Marathon (6)
π
Cross-Pollinator
(14)
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Conference Polyglot
(5)
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Academic Marathon
(6)
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Keyword Champion
π
Century Club
(10)
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Trend Setter
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Conference Pioneer
Conferences
ICML (4)
ICLR (2)
NIPS (2)
IJCAI (1)
UAI (1)
Top co-authors
Research topics
Keywords
deep reinforcement learning
(2)
reinforcement learning
(2)
curriculum learning
(1)
network architecture
(1)
gradient descent
(1)
object detection
(1)
neural architecture search
(1)
convolutional neural network
(1)
neural network visualization
(1)
synthetic data generation
(1)
policy learning
(1)
partially observable markov decision process
(1)
continuous control
(1)
reward function
(1)
image generation
(1)
spatial representation
(1)
atari game
(1)
autonomous agent
(1)
autonomous vehicle
(1)
representation learning
(1)
Papers
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
ICML 2024
Quality-Diversity through AI Feedback
ICLR 2024
OMNI: Open-endedness via Models of human Notions of Interestingness
ICLR 2024
Reinforcement Learning Under Moral Uncertainty
ICML 2021
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
ICML 2020
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
ICML 2020
Learning Belief Representations for Imitation Learning in POMDPs
UAI 2019
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
IJCAI 2019
An intriguing failing of convolutional neural networks and the CoordConv solution
NIPS 2018
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
NIPS 2018