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 |