Thomy Phan

Orcid: 0000-0002-4390-8954

According to our database1, Thomy Phan authored at least 49 papers between 2018 and 2024.

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Bibliography

2024
Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search.
CoRR, 2024

Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms.
CoRR, 2024

Confidence-Based Curriculum Learning for Multi-Agent Path Finding.
CoRR, 2024

ClusterComm: Discrete Communication in Decentralized MARL using Internal Representation Clustering.
CoRR, 2024

Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Emergence and resilience in multi-agent reinforcement learning.
PhD thesis, 2023

Challenges for Reinforcement Learning in Quantum Computing.
CoRR, 2023

Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization.
CoRR, 2023

DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training.
CoRR, 2023

Adaptive Bi-nonlinear Neural Networks Based on Complex Numbers with Weights Constrained Along the Unit Circle.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability.
Proceedings of the International Conference on Machine Learning, 2023

Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Capturing Dependencies Within Machine Learning via a Formal Process Model.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning, 2022

Emergent Cooperation from Mutual Acknowledgment Exchange.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Towards Anomaly Detection in Reinforcement Learning.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Productive fitness in diversity-aware evolutionary algorithms.
Nat. Comput., 2021

VAST: Value Function Factorization with Variable Agent Sub-Teams.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Sustainable Ecosystem through Emergent Cooperation in Multi-Agent Reinforcement Learning.
Proceedings of the 2021 Conference on Artificial Life, 2021

Specification Aware Multi-Agent Reinforcement Learning.
Proceedings of the Agents and Artificial Intelligence - 13th International Conference, 2021

SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
The scenario coevolution paradigm: adaptive quality assurance for adaptive systems.
Int. J. Softw. Tools Technol. Transf., 2020

Accelerating Evolutionary Construction Tree Extraction via Graph Partitioning.
CoRR, 2020

Towards Ecosystem Management from Greedy Reinforcement Learning in a Predator-Prey Setting.
Proceedings of the 2020 Conference on Artificial Life, 2020

Foraging Swarms using Multi-Agent Reinforcement Learning.
Proceedings of the 2020 Conference on Artificial Life, 2020

The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Insights on Training Neural Networks for QUBO Tasks.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Cross Entropy Hyperparameter Optimization for Constrained Problem Hamiltonians Applied to QAOA.
Proceedings of the International Conference on Rebooting Computing, 2020

A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games.
Proceedings of the Computational Science - ICCS 2020, 2020

Uncertainty-based Out-of-Distribution Classification in Deep Reinforcement Learning.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Nash Equilibria in Multi-Agent Swarms.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Learning and Testing Resilience in Cooperative Multi-Agent Systems.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games.
CoRR, 2019

Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning.
CoRR, 2019

Emergent Escape-based Flocking behavior using Multi-Agent Reinforcement Learning.
Proceedings of the 2019 Conference on Artificial Life, 2019

Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Scenario co-evolution for reinforcement learning on a grid world smart factory domain.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Risk-Sensitivity in Simulation Based Online Planning.
Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

The Sharer's Dilemma in Collective Adaptive Systems of Self-interested Agents.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Distributed Systems, 2018

Monitoring Autonomous Agents in Self-Organizing Industrial Systems.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

Anomaly Detection in Spatial Layer Models of Autonomous Agents.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Action Markets in Deep Multi-Agent Reinforcement Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms.
Proceedings of the 2018 IEEE International Conference on Autonomic Computing, 2018

Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018


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