Ana L. C. Bazzan
52 publications
7 venues
H Index 19
Affiliation
Federal University of Rio Grande do Sul, Porto Alegre, BrazilLinks
| Name | Venue | Year | citations |
|---|---|---|---|
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization.
|
AAMAS | 2023 | 52 |
| A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning.
|
NIPS/NeurIPS | 2023 | 1 |
| Multi-Step Generalized Policy Improvement by Leveraging Approximate Models.
|
NIPS/NeurIPS | 2023 | 4 |
| Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer.
|
ICML | 2022 | 34 |
| On the Explainability and Expressiveness of Function Approximation Methods in RL-Based Traffic Signal Control.
|
IJCNN | 2022 | 6 |
| Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection.
|
AAMAS | 2021 | 27 |
| 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 | 8 |
| Comparing Multi-Armed Bandit Algorithms and Q-learning for Multiagent Action Selection: a Case Study in Route Choice.
|
IJCNN | 2018 | 18 |
| Adaptive Incremental Gaussian Mixture Network for Non-Stationary Data Stream Classification.
|
IJCNN | 2018 | 2 |
| A Flexible Approach for Designing Optimal Reward Functions.
|
AAMAS | 2017 | 9 |
| Trying to Fix Traffic: Past, Present, and Some Future Trends.
|
AAMAS | 2017 | 0 |
| Learning to Minimise Regret in Route Choice.
|
AAMAS | 2017 | 19 |
| Model-Driven Engineering in Agent-based Modeling and Simulation: a Case Study in the Traffic Signal Control Domain.
|
AAMAS | 2017 | 6 |
| ABStractme: Modularized Environment Modeling in Agent-based Simulations.
|
AAMAS | 2017 | 5 |
| A multiagent reinforcement learning approach to en-route trip building.
|
IJCNN | 2016 | 28 |
| Optimal Electric Vehicle Charging Station Placement.
|
IJCAI | 2015 | 61 |
| A Hybrid Evolutionary and Multiagent Reinforcement Learning Approach to Accelerate the Computation of Traffic Assignment: (Extended Abstract).
|
AAMAS | 2015 | 4 |
| Fast Convention Formation in Dynamic Networks Using Topological Knowledge.
|
AAAI | 2015 | 10 |
| Taxation search in boolean games.
|
AAMAS | 2013 | 17 |
| The Wisdom of Crowds in Bioinformatics: What Can We Learn (and Gain) from Ensemble Predictions?
|
AAAI | 2013 | 2 |
| Coordinating many agents in stochastic games.
|
IJCNN | 2012 | 3 |
| Combining independent and joint learning: a negotiation based approach.
|
AAMAS | 2012 | 8 |
| Agent-based simulation of mobility in real-world transportation networks: effects of acquiring information and replanning en-route.
|
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 | 40 |
| RoboCup Rescue as multiagent task allocation among teams: experiments with task interdependencies.
|
Autonomous Agents and Multi-Agent Systems | 2010 | 54 |
| Distributed clustering for group formation and task allocation.
|
AAMAS | 2010 | 3 |
| Opportunities for multiagent systems and multiagent reinforcement learning in traffic control.
|
Autonomous Agents and Multi-Agent Systems | 2009 | 270 |
| Ant-based task allocation among teams.
|
AAMAS | 2009 | 2 |
| Evaluating the performance of DCOP algorithms in a real world, dynamic problem.
|
AAMAS | 2008 | 101 |
| Simulating the effects of sanctioning for the emergence of cooperation in a public goods game.
|
AAMAS | 2008 | 2 |
| Distributed constraint propagation for diagnosis of faults in physical processes.
|
AAMAS | 2007 | 2 |
| Recommending Travel Packages Upon Distributed Knowledge.
|
AAAI | 2007 | 0 |
| A swarm based approximated algorithm to the extended generalized assignment problem (E-GAP).
|
AAMAS | 2007 | 14 |
| Improving reinforcement learning with context detection.
|
AAMAS | 2006 | 25 |
| RL-CD: Dealing with Non-Stationarity in Reinforcement Learning.
|
AAAI | 2006 | 1 |
| Dealing with non-stationary environments using context detection.
|
ICML | 2006 | 199 |
| Congestion tolls as utility alignment between agent and system optimum.
|
AAMAS | 2006 | 16 |
| An agent-based simulation of pedestrian dynamics: from lane formation to auditorium evacuation.
|
AAMAS | 2006 | 66 |
| 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 | 189 |
| Using cooperative mediation to coordinate traffic lights: a case study.
|
AAMAS | 2005 | 71 |
| Emerging collective behavior in a simple artificial financial market.
|
AAMAS | 2005 | 8 |
| 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 | 130 |
| A Swarm Based Approach for Task Allocation in Dynamic Agents Organizations.
|
AAMAS | 2004 | 20 |
| Selection of information types based on personal utility: a testbed for traffic information markets.
|
AAMAS | 2003 | 23 |
| A domain-independent diagnosis tool to adapt organizations in learning scenarios.
|
AAMAS | 2002 | 0 |
| AgentSpeak(XL): efficient intention selection in BDI agents via decision-theoretic task scheduling.
|
AAMAS | 2002 | 113 |
| Simulation of adaptive agents: learning heuristics for route choice in a commuter scenario.
|
AAMAS | 2002 | 9 |