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Rafael Pina
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2020 – today
- 2024
- [j3]Rafael Pina
, Varuna De Silva, Joosep Hook, Ahmet M. Kondoz:
Residual Q-Networks for Value Function Factorizing in Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1534-1544 (2024) - [c6]Rafael Pina, Varuna De Silva, Corentin Artaud, Xiaolan Liu:
Fully Independent Communication in Multi-Agent Reinforcement Learning. AAMAS 2024: 2423-2425 - [c5]Rafael Pina, Varuna De Silva, Corentin Artaud:
Towards Self-Adaptive Resilient Swarms Using Multi-Agent Reinforcement Learning. ICPRAM 2024: 410-417 - [i7]Rafael Pina, Varuna De Silva, Corentin Artaud, Xiaolan Liu:
Fully Independent Communication in Multi-Agent Reinforcement Learning. CoRR abs/2401.15059 (2024) - 2023
- [c4]Rafael Pina, Varuna De Silva, Corentin Artaud:
Causality Detection for Efficient Multi-Agent Reinforcement Learning. AAMAS 2023: 2824-2826 - [c3]Rafael Pina, Varuna De Silva, Corentin Artaud:
Learning Independently from Causality in Multi-Agent Environments. ICPRAM 2023: 481-487 - [c2]Rafael Pina
Staged Reinforcement Learning for Complex Tasks Through Decomposed Environments. ISPR (2) 2023: 141-154 - [c1]Corentin Artaud
Policy Generation from Latent Embeddings for Reinforcement Learning. ISPR (2) 2023: 155-168 - [i6]Rafael Pina, Varuna De Silva, Corentin Artaud:
Causality Detection for Efficient Multi-Agent Reinforcement Learning. CoRR abs/2303.14227 (2023) - [i5]Chaoyi Gu, Varuna De Silva, Corentin Artaud, Rafael Pina:
Embedding Contextual Information through Reward Shaping in Multi-Agent Learning: A Case Study from Google Football. CoRR abs/2303.15471 (2023) - [i4]Rafael Pina, Varuna De Silva, Corentin Artaud:
Discovering Causality for Efficient Cooperation in Multi-Agent Environments. CoRR abs/2306.11846 (2023) - [i3]Rafael Pina, Varuna De Silva, Corentin Artaud:
Learning Independently from Causality in Multi-Agent Environments. CoRR abs/2311.02741 (2023) - [i2]Rafael Pina, Corentin Artaud, Xiaolan Liu, Varuna De Silva:
Staged Reinforcement Learning for Complex Tasks through Decomposed Environments. CoRR abs/2311.02746 (2023) - 2022
- [j2]Haileleol Tibebu
Towards Interpretable Camera and LiDAR Data Fusion for Autonomous Ground Vehicles Localisation. Sensors 22(20): 8021 (2022) - [i1]Rafael Pina, Varuna De Silva, Joosep Hook, Ahmet M. Kondoz:
Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement Learning. CoRR abs/2205.15245 (2022) - 2021
- [j1]Rafael Pina
Overcoming Challenges of Applying Reinforcement Learning for Intelligent Vehicle Control. Sensors 21(23): 7829 (2021)
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