Thomy Phan
12 papers · 2019–2026 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (21)
🧬
Topic Evolution
🚀
Conference Pioneer
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(10)
Core AI
(10)
Machine Learning
(8)
Reinforcement Learning
(6)
Learning Types
(6)
Methods
(5)
Mathematics & Optimization
(3)
Optimization
(3)
Optimization & Theory
(3)
Robotics
(2)
Applications · Reinforcement Learning
(2)
Application Areas
(1)
Applications · Robotics
(1)
Bayesian & Probabilistic
(1)
Capabilities
(1)
Keywords
multi-agent path finding
(4)
thompson sampling
(4)
multi-agent reinforcement learning
(3)
multi-armed bandit
(3)
large neighborhood search
(3)
partially observable markov decision process
(3)
open-loop planning
(3)
monte carlo tree search
(2)
reinforcement learning
(2)
anytime algorithm
(2)
cooperative multi-agent
(2)
temporal abstraction
(1)
attention mechanism
(1)
partial observability
(1)
curriculum learning
(1)
value function approximation
(1)
counterfactual reasoning
(1)
domain generalization
(1)
value function
(1)
generative model
(1)
Papers
Spatially Grouped Curriculum Learning for Multi-Agent Path Finding
AAAI 2026
Truncated Counterfactual Learning for Anytime Multi-Agent Path Finding
AAAI 2026
Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic
AAAI 2025
Counterfactual Online Learning for Open-Loop Monte-Carlo Planning
AAAI 2025
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search
AAAI 2024
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability
ICML 2023
CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing
IJCAI 2023
Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition
AAAI 2021
VAST: Value Function Factorization with Variable Agent Sub-Teams
NeurIPS 2021
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning
IJCAI 2019
Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling
AAAI 2019
Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search
IJCAI 2019