Jacob Buckman
7 papers · 2016–2022 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird π Academic Marathon (6) π Cross-Pollinator (14) πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(4)
π
Triple Crown
π
Conference Pioneer
β
The Questioner
(2)
Conferences
ICLR (2)
ICML (2)
NIPS (2)
EMNLP (1)
Top co-authors
Keywords
model-based reinforcement learning
(2)
sample efficiency
(1)
offline reinforcement learning
(1)
ensemble learning
(1)
dynamic programming
(1)
continuous control
(1)
state representation
(1)
reward prediction
(1)
condition number
(1)
trajectory distribution
(1)
latent space
(1)
generative adversarial network
(1)
behavior policy
(1)
deep rl
(1)
auxiliary task
(1)
frechet inception distance
(1)
model-free learning
(1)
latent space model
(1)
inception score
(1)
stochastic ensemble
(1)
Papers
When does return-conditioned supervised learning work for offline reinforcement learning?
NIPS 2022
The Importance of Pessimism in Fixed-Dataset Policy Optimization
ICLR 2021
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
ICML 2019
Thermometer Encoding: One Hot Way To Resist Adversarial Examples
ICLR 2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
NIPS 2018
Is Generator Conditioning Causally Related to GAN Performance?
ICML 2018
Transition-Based Dependency Parsing with Heuristic Backtracking
EMNLP 2016