Sam Devlin
10 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (21) π Conference Polyglot (6) π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer
π
Conference Polyglot
(6)
π
Academic Marathon
(6)
π
Grand Slam
π
Century Club
(10)
π
Trend Setter
π₯
Unstoppable
(5)
Conferences
ICLR (3)
ICML (2)
NIPS (2)
AAAI (1)
AISTATS (1)
UAI (1)
Top co-authors
Keywords
sample efficiency
(2)
reinforcement learning
(1)
temporal difference learning
(1)
few-shot learning
(1)
offline reinforcement learning
(1)
imitation learning
(1)
domain generalization
(1)
variational inference
(1)
information bottleneck
(1)
sequential decision making
(1)
behavior cloning
(1)
off-policy learning
(1)
optimistic exploration
(1)
zero-sum game
(1)
variational autoencoder
(1)
noise injection
(1)
markov game
(1)
agent behavior
(1)
masked prediction
(1)
deterministic policy
(1)
Papers
Scaling Laws for Pre-training Agents and World Models
ICML 2025
Imitating Human Behaviour with Diffusion Models
ICLR 2023
Contrastive Meta-Learning for Partially Observable Few-Shot Learning
ICLR 2023
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency
AAAI 2022
Uni[MASK]: Unified Inference in Sequential Decision Problems
NIPS 2022
Strategically efficient exploration in competitive multi-agent reinforcement learning
UAI 2021
Meta-Learning Divergences for Variational Inference
AISTATS 2021
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
ICML 2021
AMRL: Aggregated Memory For Reinforcement Learning
ICLR 2020
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
NIPS 2019