Project Malmo

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

Preprint

Variational Integrator Networks for Physically Meaningful Embeddings

Steindór Sæmundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth

Twenty-Third International Conference on Artificial Intelligence and Statistics (AISTATS) | June 2020

Author's Version

Combining No-regret and Q-learning

Ian A. Kash, Michael Sullins, Katja Hofmann

2020 Adaptive Agents and Multi-Agents Systems | May 2020

Publication Publication

A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandit: Algorithms and Regret Bounds

Aristide Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann

International Conference on Autonomous Agents and Multiagent Systems (AAMAS) | May 2020

Author's Version

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

Publication PDF Projet

Conservative Uncertainty Estimation By Fitting Prior Networks

Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard Turner

Eighth International Conference on Learning Representations (ICLR) | April 2020

Publication PDF Github Projet

VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning

Luisa Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson

Eighth International Conference on Learning Representations (ICLR) | April 2020

Publication PDF Projet

The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors

William H Guss, Cayden Codel, Katja Hofmann, Brandon Houghton, Noboru Sean Kuno, Stephanie Milani, Sharada Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Philip Wang

Thirty-third Conference on Neural Information Processing Systems (NeurIPS) Competition track | December 2019

Author's Version

Minecraft as AI Playground and Laboratory

Katja Hofmann

Proceedings of the Annual Symposium on Computer-Human Interaction in Play (ChiPlay) | November 2019

Opening keynote (extended abstract)

Publication

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

Publié par Arxiv

Publication

How Players Speak to an Intelligent Game Character Using Natural Language Messages

Fraser Allison, Ewa Luger, Katja Hofmann

Transactions of the Digital Games Research Association | December 2018, Vol 4(2): pp. 1-49

Publication

Combining No-regret and Q-learning (2018)

Ian Kash, Katja Hofmann

The 14th European Workshop on Reinforcement Learning (EWRL 2018) | October 2018

Also presented at the AAAI-19 workshop on Reinforcement Learning in Games.

PDF

A New AI Evaluation Cosmos: Ready to Play the Game?

José Hérnandez-Orallo, Marco Baroni, Jordi Bieger, Nader Chmait, David L. Dowe, Katja Hofmann, Fernando Martínez-Plumed, Claes Strannegård, Kristinn R. Thórisson

AI Magazine | September 2017, Vol 38

Publication Publication

Asynchronous Data Aggregation for Training End to End Visual Control Networks

Mathew Monfort, Matthew Johnson, Aude Oliva, Katja Hofmann

AAMAS '17 Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems | May 2017

Publication Publication

Spontaneous Interactions with a Virtually Embodied Intelligent Assistant in Minecraft

Fraser Allison, Ewa Luger, Katja Hofmann

CHI EA '17 Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems | May 2017

Publication Publication Publication

Memory Lens – How Much Memory Does an Agent Use?

Christoph Dann, Katja Hofmann, Sebastian Nowozin

The 13th European Workshop on Reinforcement Learning (EWRL) 2016 | December 2016

Also presented at the Interpretable ML for Complex Systems Workshop at NeurIPS 2016

Publication PDF

Decoding multitask DQN in the world of Minecraft

Lydia T. Liu, Urun Dogan, Katja Hofmann

The 13th European Workshop on Reinforcement Learning (EWRL) 2016 | December 2016

Also presented at the 11th Women in Machine Learning Workshop and the Deep Reinforcement Learning Workshop at NeurIPS 2016.

PDF

Experimental and Causal View on Information Integration in Autonomous Agents

Philipp Geiger, Katja Hofmann, Bernhard Schölkopf

6th International Workshop on Combinations of Intelligent Methods and Applications | August 2016

6th International Workshop on Combinations of Intelligent Methods and Applications

Publication

The Malmo Platform for Artificial Intelligence Experimentation

Matthew Johnson, Katja Hofmann, Tm Hutton, David Bignell, Katja Hofmann

25th International Joint Conference on Artificial Intelligence (IJCAI-16) | July 2016

Publication Vidéo

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

Preprint

Variational Integrator Networks for Physically Meaningful Embeddings

Steindór Sæmundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth

Twenty-Third International Conference on Artificial Intelligence and Statistics (AISTATS) | June 2020

Author's Version

Combining No-regret and Q-learning

Ian A. Kash, Michael Sullins, Katja Hofmann

2020 Adaptive Agents and Multi-Agents Systems | May 2020

Publication Publication

A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandit: Algorithms and Regret Bounds

Aristide Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann

International Conference on Autonomous Agents and Multiagent Systems (AAMAS) | May 2020

Author's Version

VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning

Luisa Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson

Eighth International Conference on Learning Representations (ICLR) | April 2020

Publication PDF Projet

Conservative Uncertainty Estimation By Fitting Prior Networks

Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard Turner

Eighth International Conference on Learning Representations (ICLR) | April 2020

Publication PDF Github Projet

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

Publication PDF Projet

The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors

William H Guss, Cayden Codel, Katja Hofmann, Brandon Houghton, Noboru Sean Kuno, Stephanie Milani, Sharada Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Philip Wang

Thirty-third Conference on Neural Information Processing Systems (NeurIPS) Competition track | December 2019

Author's Version

Minecraft as AI Playground and Laboratory

Katja Hofmann

Proceedings of the Annual Symposium on Computer-Human Interaction in Play (ChiPlay) | November 2019

Opening keynote (extended abstract)

Publication

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

Publié par Arxiv

Publication

How Players Speak to an Intelligent Game Character Using Natural Language Messages

Fraser Allison, Ewa Luger, Katja Hofmann

Transactions of the Digital Games Research Association | December 2018, Vol 4(2): pp. 1-49

Publication

Combining No-regret and Q-learning (2018)

Ian Kash, Katja Hofmann

The 14th European Workshop on Reinforcement Learning (EWRL 2018) | October 2018

Also presented at the AAAI-19 workshop on Reinforcement Learning in Games.

PDF

A New AI Evaluation Cosmos: Ready to Play the Game?

José Hérnandez-Orallo, Marco Baroni, Jordi Bieger, Nader Chmait, David L. Dowe, Katja Hofmann, Fernando Martínez-Plumed, Claes Strannegård, Kristinn R. Thórisson

AI Magazine | September 2017, Vol 38

Publication Publication

Asynchronous Data Aggregation for Training End to End Visual Control Networks

Mathew Monfort, Matthew Johnson, Aude Oliva, Katja Hofmann

AAMAS '17 Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems | May 2017

Publication Publication

Spontaneous Interactions with a Virtually Embodied Intelligent Assistant in Minecraft

Fraser Allison, Ewa Luger, Katja Hofmann

CHI EA '17 Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems | May 2017

Publication Publication Publication

Memory Lens – How Much Memory Does an Agent Use?

Christoph Dann, Katja Hofmann, Sebastian Nowozin

The 13th European Workshop on Reinforcement Learning (EWRL) 2016 | December 2016

Also presented at the Interpretable ML for Complex Systems Workshop at NeurIPS 2016

Publication PDF

Decoding multitask DQN in the world of Minecraft

Lydia T. Liu, Urun Dogan, Katja Hofmann

The 13th European Workshop on Reinforcement Learning (EWRL) 2016 | December 2016

Also presented at the 11th Women in Machine Learning Workshop and the Deep Reinforcement Learning Workshop at NeurIPS 2016.

PDF

Experimental and Causal View on Information Integration in Autonomous Agents

Philipp Geiger, Katja Hofmann, Bernhard Schölkopf

6th International Workshop on Combinations of Intelligent Methods and Applications | August 2016

6th International Workshop on Combinations of Intelligent Methods and Applications

Publication

The Malmo Platform for Artificial Intelligence Experimentation

Matthew Johnson, Katja Hofmann, Tm Hutton, David Bignell, Katja Hofmann

25th International Joint Conference on Artificial Intelligence (IJCAI-16) | July 2016

Publication Vidéo

How Players Speak to an Intelligent Game Character Using Natural Language Messages

Fraser Allison, Ewa Luger, Katja Hofmann

Transactions of the Digital Games Research Association | December 2018, Vol 4(2): pp. 1-49

Publication

Spontaneous Interactions with a Virtually Embodied Intelligent Assistant in Minecraft

Fraser Allison, Ewa Luger, Katja Hofmann

CHI EA '17 Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems | May 2017

Publication Publication Publication

Asynchronous Data Aggregation for Training End to End Visual Control Networks

Mathew Monfort, Matthew Johnson, Aude Oliva, Katja Hofmann

AAMAS '17 Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems | May 2017

Publication Publication

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

Preprint

Variational Integrator Networks for Physically Meaningful Embeddings

Steindór Sæmundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth

Twenty-Third International Conference on Artificial Intelligence and Statistics (AISTATS) | June 2020

Author's Version

Combining No-regret and Q-learning

Ian A. Kash, Michael Sullins, Katja Hofmann

2020 Adaptive Agents and Multi-Agents Systems | May 2020

Publication Publication

A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandit: Algorithms and Regret Bounds

Aristide Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann

International Conference on Autonomous Agents and Multiagent Systems (AAMAS) | May 2020

Author's Version

VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning

Luisa Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson

Eighth International Conference on Learning Representations (ICLR) | April 2020

Publication PDF Projet

Conservative Uncertainty Estimation By Fitting Prior Networks

Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard Turner

Eighth International Conference on Learning Representations (ICLR) | April 2020

Publication PDF Github Projet

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

Publication PDF Projet

The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors

William H Guss, Cayden Codel, Katja Hofmann, Brandon Houghton, Noboru Sean Kuno, Stephanie Milani, Sharada Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Philip Wang

Thirty-third Conference on Neural Information Processing Systems (NeurIPS) Competition track | December 2019

Author's Version

Minecraft as AI Playground and Laboratory

Katja Hofmann

Proceedings of the Annual Symposium on Computer-Human Interaction in Play (ChiPlay) | November 2019

Opening keynote (extended abstract)

Publication

Combining No-regret and Q-learning (2018)

Ian Kash, Katja Hofmann

The 14th European Workshop on Reinforcement Learning (EWRL 2018) | October 2018

Also presented at the AAAI-19 workshop on Reinforcement Learning in Games.

PDF

Asynchronous Data Aggregation for Training End to End Visual Control Networks

Mathew Monfort, Matthew Johnson, Aude Oliva, Katja Hofmann

AAMAS '17 Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems | May 2017

Publication Publication

Spontaneous Interactions with a Virtually Embodied Intelligent Assistant in Minecraft

Fraser Allison, Ewa Luger, Katja Hofmann

CHI EA '17 Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems | May 2017

Publication Publication Publication

Memory Lens – How Much Memory Does an Agent Use?

Christoph Dann, Katja Hofmann, Sebastian Nowozin

The 13th European Workshop on Reinforcement Learning (EWRL) 2016 | December 2016

Also presented at the Interpretable ML for Complex Systems Workshop at NeurIPS 2016

Publication PDF

Decoding multitask DQN in the world of Minecraft

Lydia T. Liu, Urun Dogan, Katja Hofmann

The 13th European Workshop on Reinforcement Learning (EWRL) 2016 | December 2016

Also presented at the 11th Women in Machine Learning Workshop and the Deep Reinforcement Learning Workshop at NeurIPS 2016.

PDF

Experimental and Causal View on Information Integration in Autonomous Agents

Philipp Geiger, Katja Hofmann, Bernhard Schölkopf

6th International Workshop on Combinations of Intelligent Methods and Applications | August 2016

6th International Workshop on Combinations of Intelligent Methods and Applications

Publication

The Malmo Platform for Artificial Intelligence Experimentation

Matthew Johnson, Katja Hofmann, Tm Hutton, David Bignell, Katja Hofmann

25th International Joint Conference on Artificial Intelligence (IJCAI-16) | July 2016

Publication Vidéo

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

Publié par Arxiv

Publication

How Players Speak to an Intelligent Game Character Using Natural Language Messages

Fraser Allison, Ewa Luger, Katja Hofmann

Transactions of the Digital Games Research Association | December 2018, Vol 4(2): pp. 1-49

Publication

A New AI Evaluation Cosmos: Ready to Play the Game?

José Hérnandez-Orallo, Marco Baroni, Jordi Bieger, Nader Chmait, David L. Dowe, Katja Hofmann, Fernando Martínez-Plumed, Claes Strannegård, Kristinn R. Thórisson

AI Magazine | September 2017, Vol 38

Publication Publication