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Christianos, Filippos
31  Ergebnisse:
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1

Planning with Occluded Traffic Agents using Bi-Level Variat..:

, In: 2023 IEEE International Conference on Robotics and Automation (ICRA),
Christianos, Filippos ; Karkus, Peter ; Ivanovic, Boris.. - p. 5558-5565 , 2023
Link: https://doi.org/10.1109/..
 
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2

iPlugie: Intelligent electric vehicle charging in buildings..:

Panagopoulos, Athanasios Aris ; Christianos, Filippos ; Katsigiannis, Michail...
Simulation Modelling Practice and Theory.  115 (2022)  - p. 102439 , 2022
Link: https://doi.org/10.1016/..
 
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3

A low-complexity non-intrusive approach to predict the ener..:

Panagopoulos, Athanasios Aris ; Christianos, Filippos ; Katsigiannis, Michail...
Advances in Building Energy Research.  16 (2020)  2 - p. 202-213 , 2020
Link: https://doi.org/10.1080/..
 
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4

SMAClite: A Lightweight Environment for Multi-Agent Reinfor..:

Michalski, Adam ; Christianos, Filippos ; Albrecht, Stefano V
http://arxiv.org/abs/2305.05566.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

Revisiting the Gumbel-Softmax in MADDPG:

Tilbury, Callum Rhys ; Christianos, Filippos ; Albrecht, Stefano V
http://arxiv.org/abs/2302.11793.  , 2023
Link: http://arxiv.org/abs/230..
 
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6

Ask more, know better: Reinforce-Learned Prompt Questions f..:

Yan, Xue ; Song, Yan ; Cui, Xinyu...
http://arxiv.org/abs/2310.18127.  , 2023
Link: http://arxiv.org/abs/231..
 
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7

Intrinsic Language-Guided Exploration for Complex Long-Hori..:

Triantafyllidis, Eleftherios ; Christianos, Filippos ; Li, Zhibin
http://arxiv.org/abs/2309.16347.  , 2023
Link: http://arxiv.org/abs/230..
 
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8

Pangu-Agent: A Fine-Tunable Generalist Agent with Structure..:

Christianos, Filippos ; Papoudakis, Georgios ; Zimmer, Matthieu...
http://arxiv.org/abs/2312.14878.  , 2023
Link: http://arxiv.org/abs/231..
 
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9

A low-complexity non-intrusive approach to predict the ener..:

Panagopoulos, Athanasios Aris ; Christianos, Filippos ; Katsigiannis, Michail...
qt8br6b7rh.  , 2022
Link: https://escholarship.org..
 
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10

Learning Task Embeddings for Teamwork Adaptation in Multi-A..:

Schäfer, Lukas ; Christianos, Filippos ; Storkey, Amos.
http://arxiv.org/abs/2207.02249.  , 2022
Link: http://arxiv.org/abs/220..
 
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11

Deep Reinforcement Learning for Multi-Agent Interaction:

Ahmed, Ibrahim H ; Brewitt, Cillian ; Carlucho, Ignacio...
http://arxiv.org/abs/2208.01769.  , 2022
Link: http://arxiv.org/abs/220..
 
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12

Pareto Actor-Critic for Equilibrium Selection in Multi-Agen..:

Christianos, Filippos ; Papoudakis, Georgios ; Albrecht, Stefano V
http://arxiv.org/abs/2209.14344.  , 2022
Link: http://arxiv.org/abs/220..
 
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13

Planning with Occluded Traffic Agents using Bi-Level Variat..:

Christianos, Filippos ; Karkus, Peter ; Ivanovic, Boris..
http://arxiv.org/abs/2210.14584.  , 2022
Link: http://arxiv.org/abs/221..
 
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14

A low-complexity non-intrusive approach to predict the ener..:

Panagopoulos Athanasios Aris() ; Christianos Filippos() ; Katsigiannis Michail()...
info:eu-repo/grantAgreement/EC/FP7/246686.  , 2022
Link: http://purl.tuc.gr/dl/di..
 
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15

Scaling Multi-Agent Reinforcement Learning with Selective P..:

Christianos, Filippos ; Papoudakis, Georgios ; Rahman, Arrasy.
http://arxiv.org/abs/2102.07475.  , 2021
Link: http://arxiv.org/abs/210..
 
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