Sam Devlin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
12
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Scaling Laws for Pre-training Agents and World Models. | Tim Pearce, Tabish Rashid, David Bignell, Raluca Georgescu, Sam Devlin, Katja Hofmann |
| 2023 | CHI | Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games. | Stephanie Milani, Arthur Juliani, Ida Momennejad, Raluca Georgescu, Jaroslaw Rzepecki, Alison Shaw, Gavin Costello, Fei Fang, Sam Devlin, Katja Hofmann |
| 2023 | ICLR | Contrastive Meta-Learning for Partially Observable Few-Shot Learning. | Adam Jelley, Amos J. Storkey, Antreas Antoniou, Sam Devlin |
| 2023 | ICLR | Imitating Human Behaviour with Diffusion Models. | Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin |
| 2022 | AAAI | Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency. | Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson |
| 2022 | AIED | Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop Quizzes. | Ahana Ghosh, Sebastian Tschiatschek, Sam Devlin, Adish Singla |
| 2022 | CHI | How Humans Perceive Human-like Behavior in Video Game Navigation. | Evelyn Zuniga, Stephanie Milani, Guy Leroy, Jaroslaw Rzepecki, Raluca Georgescu, Ida Momennejad, David Bignell, Mingfei Sun, Alison Shaw, Gavin Costello, Mikhail Jacob, Sam Devlin, Katja Hofmann |
| 2022 | FDG | Imitating Playstyle with Dynamic Time Warping Imitation. | Mark Ferguson, Sam Devlin, Daniel Kudenko, James Alfred Walker |
| 2021 | AISTATS | Meta-Learning Divergences for Variational Inference. | Ruqi Zhang, Yingzhen Li, Christopher De Sa, Sam Devlin, Cheng Zhang |
| 2021 | ICML | Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation. | Sam Devlin, Raluca Georgescu, Ida Momennejad, Jaroslaw Rzepecki, Evelyn Zuniga, Gavin Costello, Guy Leroy, Ali Shaw, Katja Hofmann |
| 2021 | UAI | Strategically efficient exploration in competitive multi-agent reinforcement learning. | Robert Tyler Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann |
| 2020 | FDG | Player Style Clustering without Game Variables. | Mark Ferguson, Sam Devlin, Daniel Kudenko, James Alfred Walker |
| 2020 | ICLR | AMRL: Aggregated Memory For Reinforcement Learning. | Jacob Beck, Kamil Ciosek, Sam Devlin, Sebastian Tschiatschek, Cheng Zhang, Katja Hofmann |
| 2017 | AAAI | Clyde: A Deep Reinforcement Learning DOOM Playing Agent. | Dino Stephen Ratcliffe, Sam Devlin, Udo Kruschwitz, Luca Citi |
| 2017 | CogSci | Exploration and Skill Acquisition in a Major Online Game. | Tom Stafford, Sam Devlin, Rafet Sifa, Anders Drachen |
| 2015 | AAAI | Expressing Arbitrary Reward Functions as Potential-Based Advice. | Anna Harutyunyan, Sam Devlin, Peter Vrancx, Ann Now |
| 2015 | MODELS | Type Inference Using Concrete Syntax Properties in Flexible Model-Driven Engineering. | Athanasios Zolotas, Nicholas Drivalos Matragkas, Sam Devlin, Dimitrios S. Kolovos, Richard F. Paige |
| 2014 | ECAI | Coordinated Team Learning and Difference Rewards for Distributed Intrusion Response. | Kleanthis Malialis, Sam Devlin, Daniel Kudenko |
| 2014 | ECAI | Predicting Player Disengagement in Online Games. | Hanting Xie, Daniel Kudenko, Sam Devlin, Peter I. Cowling |
| 2012 | AAMAS | Dynamic potential-based reward shaping. | Sam Devlin, Daniel Kudenko |