Thomy Phan

According to our database1, Thomy Phan authored at least 27 papers between 2018 and 2021.

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Bibliography

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

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
Emergent Escape-based Flocking Behavior using Multi-Agent Reinforcement Learning.
CoRR, 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

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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