Joel Lehman
10 papers · 2018–2024 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (29) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Sprint
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Keyword Champion
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Trend Setter
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(55)
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(8)
Core AI
(8)
Reinforcement Learning
(6)
Learning Types
(5)
Methods
(5)
Applications
(3)
Computer Vision
(2)
Deep Learning
(2)
Architectures
(2)
Core Methods
(2)
Learning Paradigms Β· Machine Learning
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Optimization & Theory Β· Machine Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Keywords
reinforcement learning
(2)
evolutionary algorithm
(2)
deep reinforcement learning
(2)
curriculum learning
(2)
open-ended learning
(2)
gradient descent
(1)
neural network visualization
(1)
object detection
(1)
text-to-image generation
(1)
neural architecture search
(1)
network architecture
(1)
synthetic data generation
(1)
policy learning
(1)
partially observable markov decision process
(1)
reward function
(1)
continuous control
(1)
human judgment
(1)
intrinsic motivation
(1)
diffusion model
(1)
text generation
(1)
Papers
OMNI: Open-endedness via Models of human Notions of Interestingness
ICLR 2024
Quality-Diversity through AI Feedback
ICLR 2024
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
ICML 2024
Reinforcement Learning Under Moral Uncertainty
ICML 2021
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
ICML 2020
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
ICML 2020
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
IJCAI 2019
Learning Belief Representations for Imitation Learning in POMDPs
UAI 2019
An intriguing failing of convolutional neural networks and the CoordConv solution
NeurIPS 2018
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
NeurIPS 2018