| Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization.   | AAMAS | 2023 | 0 | 
        
        
            | Multi-Step Generalized Policy Improvement by Leveraging Approximate Models.   | NIPS/NeurIPS | 2023 | 0 | 
        
        
            | A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning.   | NIPS/NeurIPS | 2023 | 0 | 
        
        
            | On the Explainability and Expressiveness of Function Approximation Methods in RL-Based Traffic Signal Control.   | IJCNN | 2022 | 1 | 
        
        
            | Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer.   | ICML | 2022 | 2 | 
        
        
            | Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection.   | AAMAS | 2021 | 8 | 
        
        
            | A Context-aware Convention Formation Framework for Large-Scale Networks.   | AAMAS | 2019 | 0 | 
        
        
            | A context-aware convention formation framework for large-scale networks.   | Autonomous Agents and Multi-Agent Systems | 2019 | 0 | 
        
        
            | Towards Designing Optimal Reward Functions in Multi-Agent Reinforcement Learning Problems.   | IJCNN | 2018 | 5 | 
        
        
            | Comparing Multi-Armed Bandit Algorithms and Q-learning for Multiagent Action Selection: a Case Study in Route Choice.   | IJCNN | 2018 | 6 | 
        
        
            | Adaptive Incremental Gaussian Mixture Network for Non-Stationary Data Stream Classification.   | IJCNN | 2018 | 2 | 
        
        
            | Learning to Minimise Regret in Route Choice.   | AAMAS | 2017 | 15 | 
        
        
            | ABStractme: Modularized Environment Modeling in Agent-based Simulations.   | AAMAS | 2017 | 4 | 
        
        
            | Trying to Fix Traffic: Past, Present, and Some Future Trends.   | AAMAS | 2017 | 0 | 
        
        
            | A Flexible Approach for Designing Optimal Reward Functions.   | AAMAS | 2017 | 3 | 
        
        
            | Model-Driven Engineering in Agent-based Modeling and Simulation: a Case Study in the Traffic Signal Control Domain.   | AAMAS | 2017 | 6 | 
        
        
            | A multiagent reinforcement learning approach to en-route trip building.   | IJCNN | 2016 | 21 | 
        
        
            | Optimal Electric Vehicle Charging Station Placement.   | IJCAI | 2015 | 58 | 
        
        
            | A Hybrid Evolutionary and Multiagent Reinforcement Learning Approach to Accelerate the Computation of Traffic Assignment: (Extended Abstract).   | AAMAS | 2015 | 5 | 
        
        
            | Fast Convention Formation in Dynamic Networks Using Topological Knowledge.   | AAAI | 2015 | 10 | 
        
        
            | The Wisdom of Crowds in Bioinformatics: What Can We Learn (and Gain) from Ensemble Predictions?   | AAAI | 2013 | 3 | 
        
        
            | Taxation search in boolean games.   | AAMAS | 2013 | 19 | 
        
        
            | Coordinating many agents in stochastic games.   | IJCNN | 2012 | 3 | 
        
        
            | Agent-based simulation of mobility in real-world transportation networks: effects of acquiring information and replanning en-route.   | AAMAS | 2012 | 8 | 
        
        
            | Combining independent and joint learning: a negotiation based approach.   | AAMAS | 2012 | 7 | 
        
        
            | Break with agents who listen to too many others (at least when making Boolean decisions!).   | AAMAS | 2012 | 1 | 
        
        
            | Towards efficient multiagent task allocation in the RoboCup Rescue: a biologically-inspired approach.   | Autonomous Agents and Multi-Agent Systems | 2011 | 42 | 
        
        
            | Distributed clustering for group formation and task allocation.   | AAMAS | 2010 | 2 | 
        
        
            | RoboCup Rescue as multiagent task allocation among teams: experiments with task interdependencies.   | Autonomous Agents and Multi-Agent Systems | 2010 | 56 | 
        
        
            | Ant-based task allocation among teams.   | AAMAS | 2009 | 2 | 
        
        
            | Opportunities for multiagent systems and multiagent reinforcement learning in traffic control.   | Autonomous Agents and Multi-Agent Systems | 2009 | 223 | 
        
        
            | Evaluating the performance of DCOP algorithms in a real world, dynamic problem.   | AAMAS | 2008 | 98 | 
        
        
            | Simulating the effects of sanctioning for the emergence of cooperation in a public goods game.   | AAMAS | 2008 | 3 | 
        
        
            | A swarm based approximated algorithm to the extended generalized assignment problem (E-GAP).   | AAMAS | 2007 | 12 | 
        
        
            | Recommending Travel Packages Upon Distributed Knowledge.   | AAAI | 2007 | 0 | 
        
        
            | Distributed constraint propagation for diagnosis of faults in physical processes.   | AAMAS | 2007 | 1 | 
        
        
            | Improving reinforcement learning with context detection.   | AAMAS | 2006 | 24 | 
        
        
            | An agent-based simulation of pedestrian dynamics: from lane formation to auditorium evacuation.   | AAMAS | 2006 | 61 | 
        
        
            | Dealing with non-stationary environments using context detection.   | ICML | 2006 | 157 | 
        
        
            | Congestion tolls as utility alignment between agent and system optimum.   | AAMAS | 2006 | 16 | 
        
        
            | RL-CD: Dealing with Non-Stationarity in Reinforcement Learning.   | AAAI | 2006 | 0 | 
        
        
            | ITSUMO: an Intelligent Transportation System for Urban Mobility.   | AAMAS | 2006 | 0 | 
        
        
            | A Distributed Approach for Coordination of Traffic Signal Agents.   | Autonomous Agents and Multi-Agent Systems | 2005 | 145 | 
        
        
            | Emerging collective behavior in a simple artificial financial market.   | AAMAS | 2005 | 8 | 
        
        
            | Using cooperative mediation to coordinate traffic lights: a case study.   | AAMAS | 2005 | 67 | 
        
        
            | A Case Study on the Role of Information For Implicit Coordination.   | AAMAS | 2004 | 3 | 
        
        
            | A Distributed Approach for Coordination of Traffic Signal Agents.   | Autonomous Agents and Multi-Agent Systems | 2004 | 135 | 
        
        
            | A Swarm Based Approach for Task Allocation in Dynamic Agents Organizations.   | AAMAS | 2004 | 21 | 
        
        
            | Selection of information types based on personal utility: a testbed for traffic information markets.   | AAMAS | 2003 | 23 | 
        
        
            | Simulation of adaptive agents: learning heuristics for route choice in a commuter scenario.   | AAMAS | 2002 | 10 | 
        
        
            | AgentSpeak(XL): efficient intention selection in BDI agents via decision-theoretic task scheduling.   | AAMAS | 2002 | 111 | 
        
        
            | A domain-independent diagnosis tool to adapt organizations in learning scenarios.   | AAMAS | 2002 | 0 |