Jacob Buckman
7 papers · 2016–2022 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (16) π£ Hot Topic Early Bird
π
Triple Crown
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Trend Setter
β
The Questioner
(2)
π
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(4)
Deep Learning
(3)
Reinforcement Learning
(3)
Methods
(3)
Artificial Intelligence
(2)
Core AI
(2)
Core Methods
(2)
Learning Types Β· Machine Learning
(2)
Learning Types Β· Deep Learning
(2)
Application Areas
(1)
Applications
(1)
Models
(1)
Techniques
(1)
Keywords
model-based reinforcement learning
(2)
sample efficiency
(1)
offline reinforcement learning
(1)
policy optimization
(1)
ensemble learning
(1)
dynamic programming
(1)
continuous control
(1)
state representation
(1)
reward prediction
(1)
condition number
(1)
trajectory distribution
(1)
regret bound
(1)
decision boundary
(1)
latent space
(1)
generative adversarial network
(1)
behavior policy
(1)
value overestimation
(1)
deep rl
(1)
neural network robustness
(1)
adversarial example
(1)
Papers
When does return-conditioned supervised learning work for offline reinforcement learning?
NeurIPS 2022
The Importance of Pessimism in Fixed-Dataset Policy Optimization
ICLR 2021
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
ICML 2019
Is Generator Conditioning Causally Related to GAN Performance?
ICML 2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
NeurIPS 2018
Thermometer Encoding: One Hot Way To Resist Adversarial Examples
ICLR 2018
Transition-Based Dependency Parsing with Heuristic Backtracking
EMNLP 2016