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Number of items: 51.


Srinivasan, Sriram, Lanctot, Marc, Zambaldi, Vinicius, Perolat, Julien, Tuyls, Karl, Munos, Remi and Bowling, Michael
(2018) Actor-Critic Policy Optimization in Partially Observable Multiagent Environments. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 31.


Broecker, B
(2018) Bio-inspired multi-robot coordination. PhD thesis, University of Liverpool.


Tuyls, Karl, Perolat, Julien, Lanctot, Marc, Hughes, Edward, Everett, Richard, Leibo, Joel Z, Szepesvari, Csaba and Graepel, Thore
(2020) Bounds and dynamics for empirical game theoretic analysis. AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 34 (1).


Claes, Daniel, Oliehoek, Frans ORCID: 0000-0003-4372-5055, Baier, Hendrik, Tuyls, Karl and Machinery, Assoc Comp
(2017) Decentralised Online Planning for Multi-Robot Warehouse Commissioning. .


Schnieders, Benjamin
(2020) Deep Learning in the Factory of the Future. Doctor of Philosophy thesis, University of Liverpool.


Santos, Gabrielle, Tamma, Valentina AM, Payne, Terry R ORCID: 0000-0002-0106-8731 and Grasso, Floriana
(2016) A Dialogue Protocol to Support Meaning Negotiation.: (Extended Abstract). .


Collenette, Joe, Atkinson, Katie ORCID: 0000-0002-5683-4106, Bloembergen, Daan and Tuyls, Karl
(2016) The Effect of Mobility and Emotion on Interactions in Multi-Agent Systems. .


Claes, Daniel, Robbel, Philipp, Oliehoek, Frans ORCID: 0000-0003-4372-5055, Tuyls, Karl, Hennes, Daniel and Van Der Hoek, Wiebe
(2015) Effective Approximations for Multi-Robot Coordination in Spatially Distributed Tasks. Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015). 881 - 890.


Claes, Daniel, Robbel, Philipp, Oliehoek, Frans A ORCID: 0000-0003-4372-5055, Tuyls, Karl, Hennes, Daniel, van der Hoek, Wiebe and ACM,
(2015) Effective Approximations for Multi-Robot Coordination in Spatially Distributed Tasks. .


Claes, Daniel, Robbel, Philipp, Oliehoek, Frans A ORCID: 0000-0003-4372-5055, Hennes, Daniel, Tuyls, Karl and Van der Hoek, Wiebe
(2015) Effective Approximations for Spatial Task Allocation Problems. .


McGuire, Kimberly, Croon, Guido de, Wagter, Christophe De, Tuyls, Karl and Kappen, Hilbert J
(2016) Efficient Optical flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone. CoRR, abs/16.


Lazaridou, Angeliki, Hermann, Karl Moritz, Tuyls, Karl and Clark, Stephen
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input. .


Cao, Kris, Lazaridou, Angeliki, Lanctot, Marc, Leibo, Joel Z, Tuyls, Karl and Clark, Stephen
Emergent Communication through Negotiation.


Collenette, Joe, Atkinson, Katie ORCID: 0000-0002-5683-4106, Bloembergen, Daan and Tuyls, Karl
(2017) Environmental effects on simulated emotional and moody agents. KNOWLEDGE ENGINEERING REVIEW, 32.


Bloembergen, Daan, Tuyls, Karl, Hennes, Daniel and Kaisers, Michael
(2015) Evolutionary Dynamics of Multi-Agent Learning: A Survey. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 53. 659 - 697.


de Bruin, Tim, Kober, Jens, Tuyls, Karl and Babuska, Robert
(2018) Experience Selection in Deep Reinforcement Learning for Control. JOURNAL OF MACHINE LEARNING RESEARCH, 19.


Mocanu, Decebal, Ammar, Haitham Bou, Lowet, Dietwig, Driessens, Kurt, Liotta, Antonio, Weiss, Gerhard and Tuyls, Karl
(2015) Factored four way conditional restricted Boltzmann machines for activity recognition. Pattern Recognition Letters, 66. 100 - 108.


Schnieders, Benjamin, Tuyls, Karl and Kosecka, J
(2018) Fast Convergence for Object Detection by Learning how to Combine Error Functions. 2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS). 7329 - 7335.


Fossel, J
(2018) Improving Light Detection and Ranging based Simultaneous Localization and Mapping with advanced Map Representations. PhD thesis, University of Liverpool.


Palmer, Gregory
(2020) Independent Learning Approaches: Overcoming Multi-Agent Learning Pathologies In Team-Games. PhD thesis, University of Liverpool.


Hughes, Edward, Leibo, Joel Z, Phillips, Matthew, Tuyls, Karl, Duenez-Guzman, Edgar, Castaneda, Antonio Garcia, Dunning, Iain, Zhu, Tina, McKee, Kevin, Koster, Raphael
et al (show 2 more authors) (2018) Inequity aversion improves cooperation in intertemporal social dilemmas. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 31.


Bloembergen, Daan, Caliskanelli, Ipek and Tuyls, Karl
(2015) Learning in Networked Interactions: A Replicator Dynamics Approach. ARTIFICIAL LIFE AND INTELLIGENT AGENTS, ALIA 2014, 519. 44 - 58.


Palmer, Gregory, Tuyls, Karl, Bloembergen, Daan, Savani, Rahul ORCID: 0000-0003-1262-7831 and ACM,
(2018) Lenient Multi-Agent Deep Reinforcement Learning. .


Palmer, Gregory, Tuyls, Karl, Bloembergen, Daan and Savani, Rahul ORCID: 0000-0003-1262-7831
(2018) Lenient Multi-Agent Deep Reinforcement Learning. .


McGuire, Kimberly, de Croon, Guido, de Wagter, Christophe, Reines, Ban, Tuyls, Karl and Kappen, Hilbert
(2016) Local Histogram Matching for Efficient Optical Flow Computation Applied to Velocity Estimation on Pocket Drones. 2016 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA). 3255 - 3260.


McGuire, Kimberly, Croon, Guido CHE de, Wagter, Christophe De, Remes, Bart, Tuyls, Karl and Kappen, Hilbert J
(2016) Local histogram matching for efficient optical flow computation applied to velocity estimation on pocket drones. .


Balduzzi, David, Racaniere, Sebastien, Martens, James, Foerster, Jakob, Tuyls, Karl and Graepel, Thore
The Mechanics of n-Player Differentiable Games. .


Schneider, E
(2018) Mechanism Selection for Multi-Robot Task Allocation. Doctor of Philosophy thesis, University of Liverpool.


Claes, Daniel and Tuyls, Karl
(2018) Multi robot collision avoidance in a shared workspace. AUTONOMOUS ROBOTS, 42 (8). 1749 - 1770.


Klima, R
(2019) Multi-Agent Learning for Security and Sustainability. PhD thesis, University of Liverpool.


Efremova, Julia, Ranjbar-Sahraei, Bijan, Rahmani, Hossein, Oliehoek, Frans A ORCID: 0000-0003-4372-5055, Calders, Toon, Tuyls, Karl and Weiss, Gerhard
(2015) Multi-Source Entity Resolution for Genealogical Data. In: Population Reconstruction. Springer International Publishing, 129 - 154.


Palmer, Gregory, Savani, Rahul ORCID: 0000-0003-1262-7831, Tuyls, Karl and Machinery, Assoc Comp
(2019) Negative Update Intervals in Deep Multi-Agent Reinforcement Learning. .


Ranjbar-Sahraei, Bijan, Ammar, Haitham Bou, Tuyls, Karl and Weiss, Gerhard
(2015) On the Skewed Degree Distribution of Hierarchical Networks. .


Collenette, Joe, Atkinson, KM ORCID: 0000-0002-5683-4106, Bloembergen, Daniel and Tuyls, Karl
(2018) On the role of mobility and interaction topologies in social dilemmas. In: 2018 Conference on Artificial Life, 2018-07-23 - 2018-07-27, Tokyo, Japan.


Kuijpers, Bart, Lemmens, Vanessa, Moelans, Bart and Tuyls, Karl
Privacy Preserving ID3 over Horizontally, Vertically and Grid Partitioned Data.


Satsangi, Yash, Whiteson, Shimon and Oliehoek, Frans A ORCID: 0000-0003-4372-5055
(2016) Probably Approximately Correct Greedy Maximization: (Extended Abstract). .


Balduzzi, David, Tuyls, Karl, Perolat, Julien and Graepel, Thore
(2018) Re-evaluating Evaluation. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 31.


Klima, Richard, Bloembergen, Daan, Kaisers, Michael, Tuyls, Karl and Machinery, Assoc Comp
(2019) Robust Temporal Difference Learning for Critical Domains. AAMAS '19: PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS. 350 - 358.


Zhang, Chengwei, Li, Xiaohong, Hao, Jianye, Chen, Siqi, Tuyls, Karl, Feng, Zhiyong, Xue, Wanli and Chen, Rong
(2018) SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions. In: AAMAS 2018, 2018-07-10 - 2018-07-15, Stockholm, Sweden.


Collenette, Joe
(2020) Simulated Emotions and Mood as part of Decision Making in a Mobile Agent Society. PhD thesis, University of Liverpool.


Li, Xiaohong, Zhang, Chengwei, Hao, Jianye, Tuyls, Karl, Chen, Siqi and Feng, Zhiyong
(2016) Socially-Aware Multiagent Learning: Towards Socially Optimal Outcomes. .


Klima, Richard, Bloembergen, Daan, Savani, Rahul ORCID: 0000-0003-1262-7831, Tuyls, Karl, Hennes, Daniel and Izzo, Dario
(2016) Space Debris Removal: A Game Theoretic Analysis. .


Klima, Richard, Bloembergen, Daan, Savani, Rahul ORCID: 0000-0003-1262-7831, Tuyls, Karl, Wittig, Alexander, Sapera, Andrei and Izzo, Dario
(2018) Space Debris Removal: Learning to Cooperate and the Price of Anarchy. Frontiers in Robotics and AI, 5.


Collenette, Joe, Atkinson, Katie ORCID: 0000-0002-5683-4106, Bloembergen, Daan, Tuyls, Karl and Machinery, Assoc Comp
(2019) Stability of Human-Inspired Agent Societies. .


Tuyls, Karl, Perolat, Julien, Lanctot, Marc, Ostrovski, Georg, Savani, Rahul ORCID: 0000-0003-1262-7831, Leibo, Joel, Ord, Toby, Graepel, Thore and Legg, Shane
(2018) Symmetric Decomposition of Asymmetric Games. Scientific Reports, 8.


Tuyls, Karl, Alers, Sjriek, Cucco, Elisa, Claes, Daniel and Bloembergen, Daan
(2016) A Telepresence-Robot Approach for Efficient Coordination of Swarms. .


Lanctot, Marc, Zambaldi, Vinicius, Gruslys, Audrunas, Lazaridou, Angeliki, Tuyls, Karl, Perolat, Julien, Silver, David and Graepel, Thore
(2017) A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning. The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS).


Lanctot, Marc, Zambaldi, Vinícius Flores, Gruslys, Audrunas, Lazaridou, Angeliki, Tuyls, Karl, Pérolat, Julien, Silver, David and Graepel, Thore
(2017) A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning. .


Chen, Siqi, Zhou, Shuang, Weiss, Gerhard and Tuyls, Karl
(2016) Using Transfer Learning to Model Unknown Opponents in Automated Negotiations. .


Omidshafiei, Shayegan, Papadimitriou, Christos, Piliouras, Georgios, Tuyls, Karl, Rowland, Mark, Lespiau, Jean-Baptiste, Czarnecki, Wojciech M, Lanctot, Marc, Perolat, Julien and Munos, Remi
(2019) alpha-Rank: Multi-Agent Evaluation by Evolution. SCIENTIFIC REPORTS, 9.


Perolat, Julien, Leibo, Joel Z, Zambaldi, Vinicius, Beattie, Charles, Tuyls, Karl and Graepel, Thore
(2017) A multi-agent reinforcement learning model of common-pool resource appropriation. The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS).

This list was generated on Mon Nov 9 21:07:34 2020 GMT.