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Jayden Teoh

Jayden Teoh Jing Teoh

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2025
[c3]
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  dblp key:
  - conf/iclr/TeohV025
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Jayden Teoh, Pradeep Varakantham, Peter Vamplew:
On Generalization Across Environments In Multi-Objective Reinforcement Learning. ICLR 2025
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  - journals/corr/abs-2502-02180
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Felix Hofstätter, Teun van der Weij, Jayden Teoh, Henning Bartsch, Francis Rhys Ward:
The Elicitation Game: Evaluating Capability Elicitation Techniques. CoRR abs/2502.02180 (2025)
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  - journals/corr/abs-2502-05726
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Jayden Teoh, Wenjun Li, Pradeep Varakantham:
Improving Environment Novelty Quantification for Effective Unsupervised Environment Design. CoRR abs/2502.05726 (2025)
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  - journals/corr/abs-2503-00799
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Jayden Teoh, Pradeep Varakantham, Peter Vamplew:
On Generalization Across Environments In Multi-Objective Reinforcement Learning. CoRR abs/2503.00799 (2025)
2024
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Jayden Teoh Jing Teoh, Wenjun Li, Pradeep Varakantham:
Unifying Regret and State-Action Space Coverage for Effective Unsupervised Environment Design. AAMAS 2024: 2507-2509
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Jayden Teoh, Wenjun Li, Pradeep Varakantham:
Improving Environment Novelty Quantification for Effective Unsupervised Environment Design. NeurIPS 2024

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