Contrastive Meta-Learning for Partially Observable Few-Shot Learning
Adam Jelley, Amos Storkey, Antreas Antoniou, Sam Devlin
ICLR | May 2023
Sam Devlin
Principal Researcher
Publications
Publications by Year
-
Imitating Human Behaviour with Diffusion Models
Tim Pearce, Tabish Rashid, Anssi Kanervisto, Dave Bignell, Mingfei Sun, Raluca Stevenson, Sergio Valcarcel Macua, Shanzheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
ICLR 2023 | May 2023
Trust Region Bounds for Decentralized PPO Under Non-stationarity
Mingfei Sun, Sam Devlin, Jacob Beck, Katja Hofmann, Shimon Whiteson
International Conference on Autonomous Agents and Multiagent Systems (AAMAS) | May 2023
Best Paper Award
-
Uni[MASK]: Unified Inference in Sequential Decision Problems
Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, Dave Bignell, Stephanie Milani, Katja Hofmann, Matthew Hausknecht, Anca Dragan, Sam Devlin
2022 Neural Information Processing Systems | November 2022
Imitating Playstyle with Dynamic Time Warping Imitation
Mark Ferguson, Sam Devlin, Daniel Kudenko, James Alfred Walker
International Conference on the Foundations of Digital Games (FDG) | September 2022
How Humans Perceive Human-like Behavior in Video Game Navigation
Evelyn Zuniga, Stephanie Milani, Guy Leroy, Jaroslaw Rzepecki, Raluca Stevenson, Ida Momennejad, Dave Bignell, Mingfei Sun, Alison Shaw, Gavin Costello, Mikhail Jacob, Sam Devlin, Katja Hofmann
CHI 2022 | April 2022
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency
Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
AAAI 2022 | February 2022
-
Strategically Efficient Exploration in Competitive Multiagent Reinforcement Learning
Robert Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann
Conference on Uncertainty in Artificial Intelligence (UAI) 2021 | July 2021
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
Sam Devlin, Raluca Stevenson, Ida Momennejad, Jaroslaw Rzepecki, Evelyn Zuniga, Gavin Costello, Guy Leroy, Ali Shaw, Katja Hofmann
2021 International Conference on Machine Learning | July 2021
Source code available at: https://github.com/microsoft/NTT
Acting with Style: Towards Designer-centred Reinforcement Learning for the Video Games Industry
Batu Aytemiz, Mikhail Jacob, Sam Devlin
CHI 2021 Workshop on Reinforcement Learning for Humans, Computer, and Interaction (RL4HCI) | May 2021
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning
Luisa Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann
20th International Conference on Autonomous Agents and Multiagent Systems | May 2021
Difference Rewards Policy Gradients
Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani
20th International Conference on Autonomous Agents and Multiagent Systems | May 2021
Meta-Learning for Variational Inference
Ruqi Zhang, Yingzhen Li, Christopher De Sa, Sam Devlin, Cheng Zhang
International Conference on Artificial Intelligence and Statistics | April 2021
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
William H. Guss, Mario Ynocente Castro, Sam Devlin, Brandon Houghton, Noboru Sean Kuno, Crissman Loomis, Stephanie Milani, Sharada Mohanty, Keisuke Nakata, Ruslan Salakhutdinov, John Schulman, Shinya Shiroshita, Nicholay Topin, Avinash Ummadisingu, Oriol Vinyals
January 2021
-
“It’s Unwieldy and It Takes a Lot of Time.” Challenges and Opportunities for Creating Agents in Commercial Games
Mikhail Jacob, Sam Devlin, Katja Hofmann
16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment | October 2020
AIIDE 2020 BEST PAPER AWARD
Best paper award winner.
Player Style Clustering without Game Variables
Mark Ferguson, Sam Devlin, Daniel Kudenko, James Walker
FDG '20: International Conference on the Foundations of Digital Games | September 2020
AMRL: Aggregated Memory For Reinforcement Learning
Jacob Beck, Kamil Ciosek, Sam Devlin, Sebastian Tschiatschek, Cheng Zhang, Katja Hofmann
Eighth International Conference on Learning Representations (ICLR) | April 2020
Rolling Horizon Evolutionary Algorithms for General Video Game Playing
Raluca Gaina, Sam Devlin, Simon M. Lucas, Diego Perez-Liebana
IEEE Transactions on Games | March 2020
-
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann
Thirty-third Conference on Neural Information Processing Systems (NeurIPS) | December 2019
MazeExplorer: A Customisable 3D Benchmark for Assessing Generalisation in Reinforcement Learning
Luke Harries, Sebastian Lee, Jaroslaw Rzepecki, Katja Hofmann, Sam Devlin
IEEE Conference on Games | August 2019
A Generalized Framework for Self-Play Training
Daniel Hernandez, Kevin Denamganai, Yuan Gao, Peter York, Sam Devlin, Spyridon Samothrakis, James Walker
IEEE Conference on Games | August 2019
Win or Learn Fast Proximal Policy Optimisation
Dino Ratcliffe, Katja Hofmann, Sam Devlin
IEEE Conference on Games | August 2019
The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition
Diego Perez-Liebana, Katja Hofmann, Sharada Prasanna Mohanty, Noboru Sean Kuno, Andre Kramer, Sam Devlin, Raluca D. Gaina, Daniel Ionita
1901.08129 | January 2019
Published by Arxiv
Publications by Research Area
-
Contrastive Meta-Learning for Partially Observable Few-Shot Learning
Adam Jelley, Amos Storkey, Antreas Antoniou, Sam Devlin
ICLR | May 2023
Trust Region Bounds for Decentralized PPO Under Non-stationarity
Mingfei Sun, Sam Devlin, Jacob Beck, Katja Hofmann, Shimon Whiteson
International Conference on Autonomous Agents and Multiagent Systems (AAMAS) | May 2023
Best Paper Award
Imitating Human Behaviour with Diffusion Models
Tim Pearce, Tabish Rashid, Anssi Kanervisto, Dave Bignell, Mingfei Sun, Raluca Stevenson, Sergio Valcarcel Macua, Shanzheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
ICLR 2023 | May 2023
Uni[MASK]: Unified Inference in Sequential Decision Problems
Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, Dave Bignell, Stephanie Milani, Katja Hofmann, Matthew Hausknecht, Anca Dragan, Sam Devlin
2022 Neural Information Processing Systems | November 2022
Imitating Playstyle with Dynamic Time Warping Imitation
Mark Ferguson, Sam Devlin, Daniel Kudenko, James Alfred Walker
International Conference on the Foundations of Digital Games (FDG) | September 2022
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency
Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
AAAI 2022 | February 2022
Strategically Efficient Exploration in Competitive Multiagent Reinforcement Learning
Robert Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann
Conference on Uncertainty in Artificial Intelligence (UAI) 2021 | July 2021
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
Sam Devlin, Raluca Stevenson, Ida Momennejad, Jaroslaw Rzepecki, Evelyn Zuniga, Gavin Costello, Guy Leroy, Ali Shaw, Katja Hofmann
2021 International Conference on Machine Learning | July 2021
Source code available at: https://github.com/microsoft/NTT
Acting with Style: Towards Designer-centred Reinforcement Learning for the Video Games Industry
Batu Aytemiz, Mikhail Jacob, Sam Devlin
CHI 2021 Workshop on Reinforcement Learning for Humans, Computer, and Interaction (RL4HCI) | May 2021
Difference Rewards Policy Gradients
Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani
20th International Conference on Autonomous Agents and Multiagent Systems | May 2021
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning
Luisa Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann
20th International Conference on Autonomous Agents and Multiagent Systems | May 2021
Meta-Learning for Variational Inference
Ruqi Zhang, Yingzhen Li, Christopher De Sa, Sam Devlin, Cheng Zhang
International Conference on Artificial Intelligence and Statistics | April 2021
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
William H. Guss, Mario Ynocente Castro, Sam Devlin, Brandon Houghton, Noboru Sean Kuno, Crissman Loomis, Stephanie Milani, Sharada Mohanty, Keisuke Nakata, Ruslan Salakhutdinov, John Schulman, Shinya Shiroshita, Nicholay Topin, Avinash Ummadisingu, Oriol Vinyals
January 2021
“It’s Unwieldy and It Takes a Lot of Time.” Challenges and Opportunities for Creating Agents in Commercial Games
Mikhail Jacob, Sam Devlin, Katja Hofmann
16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment | October 2020
AIIDE 2020 BEST PAPER AWARD
Best paper award winner.
Player Style Clustering without Game Variables
Mark Ferguson, Sam Devlin, Daniel Kudenko, James Walker
FDG '20: International Conference on the Foundations of Digital Games | September 2020
AMRL: Aggregated Memory For Reinforcement Learning
Jacob Beck, Kamil Ciosek, Sam Devlin, Sebastian Tschiatschek, Cheng Zhang, Katja Hofmann
Eighth International Conference on Learning Representations (ICLR) | April 2020
Rolling Horizon Evolutionary Algorithms for General Video Game Playing
Raluca Gaina, Sam Devlin, Simon M. Lucas, Diego Perez-Liebana
IEEE Transactions on Games | March 2020
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann
Thirty-third Conference on Neural Information Processing Systems (NeurIPS) | December 2019
MazeExplorer: A Customisable 3D Benchmark for Assessing Generalisation in Reinforcement Learning
Luke Harries, Sebastian Lee, Jaroslaw Rzepecki, Katja Hofmann, Sam Devlin
IEEE Conference on Games | August 2019
A Generalized Framework for Self-Play Training
Daniel Hernandez, Kevin Denamganai, Yuan Gao, Peter York, Sam Devlin, Spyridon Samothrakis, James Walker
IEEE Conference on Games | August 2019
Win or Learn Fast Proximal Policy Optimisation
Dino Ratcliffe, Katja Hofmann, Sam Devlin
IEEE Conference on Games | August 2019
The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition
Diego Perez-Liebana, Katja Hofmann, Sharada Prasanna Mohanty, Noboru Sean Kuno, Andre Kramer, Sam Devlin, Raluca D. Gaina, Daniel Ionita
1901.08129 | January 2019
Published by Arxiv
-
How Humans Perceive Human-like Behavior in Video Game Navigation
Evelyn Zuniga, Stephanie Milani, Guy Leroy, Jaroslaw Rzepecki, Raluca Stevenson, Ida Momennejad, Dave Bignell, Mingfei Sun, Alison Shaw, Gavin Costello, Mikhail Jacob, Sam Devlin, Katja Hofmann
CHI 2022 | April 2022
Acting with Style: Towards Designer-centred Reinforcement Learning for the Video Games Industry
Batu Aytemiz, Mikhail Jacob, Sam Devlin
CHI 2021 Workshop on Reinforcement Learning for Humans, Computer, and Interaction (RL4HCI) | May 2021
Publications by Type
-
Rolling Horizon Evolutionary Algorithms for General Video Game Playing
Raluca Gaina, Sam Devlin, Simon M. Lucas, Diego Perez-Liebana
IEEE Transactions on Games | March 2020
-
Contrastive Meta-Learning for Partially Observable Few-Shot Learning
Adam Jelley, Amos Storkey, Antreas Antoniou, Sam Devlin
ICLR | May 2023
Trust Region Bounds for Decentralized PPO Under Non-stationarity
Mingfei Sun, Sam Devlin, Jacob Beck, Katja Hofmann, Shimon Whiteson
International Conference on Autonomous Agents and Multiagent Systems (AAMAS) | May 2023
Best Paper Award
Imitating Human Behaviour with Diffusion Models
Tim Pearce, Tabish Rashid, Anssi Kanervisto, Dave Bignell, Mingfei Sun, Raluca Stevenson, Sergio Valcarcel Macua, Shanzheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
ICLR 2023 | May 2023
Uni[MASK]: Unified Inference in Sequential Decision Problems
Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, Dave Bignell, Stephanie Milani, Katja Hofmann, Matthew Hausknecht, Anca Dragan, Sam Devlin
2022 Neural Information Processing Systems | November 2022
Imitating Playstyle with Dynamic Time Warping Imitation
Mark Ferguson, Sam Devlin, Daniel Kudenko, James Alfred Walker
International Conference on the Foundations of Digital Games (FDG) | September 2022
How Humans Perceive Human-like Behavior in Video Game Navigation
Evelyn Zuniga, Stephanie Milani, Guy Leroy, Jaroslaw Rzepecki, Raluca Stevenson, Ida Momennejad, Dave Bignell, Mingfei Sun, Alison Shaw, Gavin Costello, Mikhail Jacob, Sam Devlin, Katja Hofmann
CHI 2022 | April 2022
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency
Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
AAAI 2022 | February 2022
Strategically Efficient Exploration in Competitive Multiagent Reinforcement Learning
Robert Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann
Conference on Uncertainty in Artificial Intelligence (UAI) 2021 | July 2021
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
Sam Devlin, Raluca Stevenson, Ida Momennejad, Jaroslaw Rzepecki, Evelyn Zuniga, Gavin Costello, Guy Leroy, Ali Shaw, Katja Hofmann
2021 International Conference on Machine Learning | July 2021
Source code available at: https://github.com/microsoft/NTT
Acting with Style: Towards Designer-centred Reinforcement Learning for the Video Games Industry
Batu Aytemiz, Mikhail Jacob, Sam Devlin
CHI 2021 Workshop on Reinforcement Learning for Humans, Computer, and Interaction (RL4HCI) | May 2021
Difference Rewards Policy Gradients
Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani
20th International Conference on Autonomous Agents and Multiagent Systems | May 2021
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning
Luisa Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann
20th International Conference on Autonomous Agents and Multiagent Systems | May 2021
Meta-Learning for Variational Inference
Ruqi Zhang, Yingzhen Li, Christopher De Sa, Sam Devlin, Cheng Zhang
International Conference on Artificial Intelligence and Statistics | April 2021
“It’s Unwieldy and It Takes a Lot of Time.” Challenges and Opportunities for Creating Agents in Commercial Games
Mikhail Jacob, Sam Devlin, Katja Hofmann
16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment | October 2020
AIIDE 2020 BEST PAPER AWARD
Best paper award winner.
Player Style Clustering without Game Variables
Mark Ferguson, Sam Devlin, Daniel Kudenko, James Walker
FDG '20: International Conference on the Foundations of Digital Games | September 2020
AMRL: Aggregated Memory For Reinforcement Learning
Jacob Beck, Kamil Ciosek, Sam Devlin, Sebastian Tschiatschek, Cheng Zhang, Katja Hofmann
Eighth International Conference on Learning Representations (ICLR) | April 2020
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann
Thirty-third Conference on Neural Information Processing Systems (NeurIPS) | December 2019
MazeExplorer: A Customisable 3D Benchmark for Assessing Generalisation in Reinforcement Learning
Luke Harries, Sebastian Lee, Jaroslaw Rzepecki, Katja Hofmann, Sam Devlin
IEEE Conference on Games | August 2019
A Generalized Framework for Self-Play Training
Daniel Hernandez, Kevin Denamganai, Yuan Gao, Peter York, Sam Devlin, Spyridon Samothrakis, James Walker
IEEE Conference on Games | August 2019
Win or Learn Fast Proximal Policy Optimisation
Dino Ratcliffe, Katja Hofmann, Sam Devlin
IEEE Conference on Games | August 2019
-
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
William H. Guss, Mario Ynocente Castro, Sam Devlin, Brandon Houghton, Noboru Sean Kuno, Crissman Loomis, Stephanie Milani, Sharada Mohanty, Keisuke Nakata, Ruslan Salakhutdinov, John Schulman, Shinya Shiroshita, Nicholay Topin, Avinash Ummadisingu, Oriol Vinyals
January 2021
-
The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition
Diego Perez-Liebana, Katja Hofmann, Sharada Prasanna Mohanty, Noboru Sean Kuno, Andre Kramer, Sam Devlin, Raluca D. Gaina, Daniel Ionita
1901.08129 | January 2019
Published by Arxiv