Thomas Gabor
5 papers · 2019–2023 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🐣
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Keywords
multi-agent reinforcement learning
(3)
cooperative multi-agent
(2)
adversarial training
(1)
value function
(1)
partially observable markov decision process
(1)
value function approximation
(1)
partial observability
(1)
thompson sampling
(1)
temporal abstraction
(1)
monte carlo tree search
(1)
generative model
(1)
multi-armed bandit
(1)
attention mechanism
(1)
value decomposition
(1)
subgoal discovery
(1)
open-loop planning
(1)
memory bounded algorithm
(1)
value function factorization
(1)
decentralized execution
(1)
decentralized coordination
(1)
Papers
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability
ICML 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
Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search
IJCAI 2019