Project Malmo

Publications

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- 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 Project
- 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 Project
- 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 Project
- 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
  
  Published by 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 Video

- 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 Project
- 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 Project
- 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 Project
- 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
  
  Published by 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 Video
- 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 Project
- 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 Project
- 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 Project
- 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 Video
- 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
  
  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