2024
Modeling and reinforcement learning in partially observable many-agent systems.
Auton. Agents Multi Agent Syst., June, 2024
Reinforcement actor-critic learning as a rehearsal in MicroRTS.
Knowl. Eng. Rev., 2024
Quasimetric Value Functions with Dense Rewards.
CoRR, 2024
Robust Individualistic Learning in Many-Agent Systems.
Proceedings of the PRIMA 2024: Principles and Practice of Multi-Agent Systems, 2024
2023
Latent Interactive A2C for Improved RL in Open Many-Agent Systems.
CoRR, 2023
2022
Reinforcement learning as a rehearsal for swarm foraging.
Swarm Intell., 2022
Reinforcement learning in many-agent settings under partial observability.
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Online Inverse Reinforcement Learning with Learned Observation Model.
Proceedings of the Conference on Robot Learning, 2022
2021
Human-agent transfer from observations.
Knowl. Eng. Rev., 2021
PALO bounds for reinforcement learning in partially observable stochastic games.
Neurocomputing, 2021
Many Agent Reinforcement Learning Under Partial Observability.
CoRR, 2021
I2RL: online inverse reinforcement learning under occlusion.
Auton. Agents Multi Agent Syst., 2021
Min-Max Entropy Inverse RL of Multiple Tasks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
2020
Maximum Entropy Multi-Task Inverse RL.
CoRR, 2020
2019
Team learning from human demonstration with coordination confidence.
Knowl. Eng. Rev., 2019
Online Inverse Reinforcement Learning Under Occlusion.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
Model-Free IRL Using Maximum Likelihood Estimation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
A Framework and Method for Online Inverse Reinforcement Learning.
CoRR, 2018
Autonomous Acquisition of Behavior Trees for Robot Control.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
2017
Multiagent Path Finding With Persistence Conflicts.
IEEE Trans. Comput. Intell. AI Games, 2017
Exact and Heuristic Algorithms for Risk-Aware Stochastic Physical Search.
Comput. Intell., 2017
2016
Multi-agent reinforcement learning as a rehearsal for decentralized planning.
Neurocomputing, 2016
Reinforcement Learning in Partially Observable Multiagent Settings: Monte Carlo Exploring Policies with PAC Bounds.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016
Detection of Plan Deviation in Multi-Agent Systems.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Stackelberg Surveillance.
Informatica (Slovenia), 2015
The complexity of multi-agent plan recognition.
Auton. Agents Multi Agent Syst., 2015
2014
Reinforcement Learning of Informed Initial Policies for Decentralized Planning.
ACM Trans. Auton. Adapt. Syst., 2014
Model AI Assignments 2014.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Concurrent reinforcement learning as a rehearsal for decentralized planning under uncertainty.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013
Pruning for Monte Carlo Distributed Reinforcement Learning in Decentralized POMDPs.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
2012
Strategic best-response learning in multiagent systems.
J. Exp. Theor. Artif. Intell., 2012
Efficient context free parsing of multi-agent activities for team and plan recognition.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012
Informed Initial Policies for Learning in Dec-POMDPs.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
Sample Bounded Distributed Reinforcement Learning for Decentralized POMDPs.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Action Discovery for Single and Multi-Agent Reinforcement Learning.
Adv. Complex Syst., 2011
Adaptive Multi-robot Team Reconfiguration Using a Policy-Reuse Reinforcement Learning Approach.
Proceedings of the Advanced Agent Technology, 2011
Branch and Price for Multi-Agent Plan Recognition.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
Fast a* with Iterative Resolution for Navigation.
Int. J. Artif. Intell. Tools, 2010
Action discovery for reinforcement learning.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010
Validation of agent based crowd egress simulation.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010
Coalition structure generation in multi-agent systems with mixed externalities.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010
Evaluation and Comparison of Multi-agent Based Crowd Simulation Systems.
Proceedings of the Agents for Games and Simulations II, 2010
Multi-Agent Plan Recognition: Formalization and Algorithms.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
Search Performance of Multi-Agent Plan Recognition in a General Model.
Proceedings of the Plan, Activity, and Intent Recognition, 2010
2009
Layered Intelligence for Agent-based Crowd Simulation.
Simul., 2009
2008
Advancing the Layered Approach to Agent-Based Crowd Simulation.
Proceedings of the 22st International Workshop on Principles of Advanced and Distributed Simulation, 2008
Congestion Avoidance in Multi-Agent-based Egress Simulation.
Proceedings of the 2008 International Conference on Artificial Intelligence, 2008
2007
Generalized multiagent learning with performance bound.
Auton. Agents Multi Agent Syst., 2007
General Game Learning Using Knowledge Transfer.
Proceedings of the IJCAI 2007, 2007
2006
Reactivity and Safe Learning in Multi-Agent Systems.
Adapt. Behav., 2006
RV<sub>sigma(t)</sub>: a unifying approach to performance and convergence in online multiagent learning.
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006
2005
Unifying Convergence and No-Regret in Multiagent Learning.
Proceedings of the Learning and Adaption in Multi-Agent Systems, 2005
Efficient learning of multi-step best response.
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005
On the performance of on-line concurrent reinforcement learners.
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005
Efficient No-Regret Multiagent Learning.
Proceedings of the Proceedings, 2005
2004
On-policy concurrent reinforcement learning.
J. Exp. Theor. Artif. Intell., 2004
The Role of Reactivity in Multiagent Learning.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004
Performance Bounded Reinforcement Learning in Strategic Interactions.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004
2003
Adaptive policy gradient in multiagent learning.
Proceedings of the Second International Joint Conference on Autonomous Agents & Multiagent Systems, 2003
2002
Kernel Index for Relevance feedback Retrieval.
Proceedings of the FSDK'02, 2002
Convergent Gradient Ascent in General-Sum Games.
Proceedings of the Machine Learning: ECML 2002, 2002
2001
Mining user session data to facilitate user interaction with a customer service knowledge base in RightNow Web.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001
Fast Concurrent Reinforcement Learners.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001
2000
Using Bayesian Networks to Model Agent Relationships.
Appl. Artif. Intell., 2000
Combining Multiple Perspectives.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
Proceedings of the Fourth International Conference on Autonomous Agents, 2000
Proceedings of the Fourth International Conference on Autonomous Agents, 2000