引用次数
引用: 2,532
H-指数: 24
I10-指数 : 32
出版物: 106
SVM Toolbox
SV Albrecht
Darmstadt University of Technology Department of Computer Science Multimodal Interactive Systems
1
2017
Prediction and planning for mobile robots
Subramanian Ramamoorthy , Mihai DOBRE , Roberto ANTOLIN , Stefano ALBRECHT
2021
Autonomous Driving with Interpretable Goal Recognition and Monte Carlo Tree Search
Stefano V Albrecht , Mihai Dobre , Ram Ramamoorthy , Francisco Eiras
Interaction and Decision-Making in Autonomous-Driving: A Virtual Workshop at RSS 2020
2020
Learning task embeddings for teamwork adaptation in multi-agent reinforcement learning
Lukas Schäfer , Filippos Christianos , Amos Storkey , Stefano V Albrecht
arXiv preprint arXiv:2207.02249
1
2022
Deep reinforcement learning for multi-agent interaction
Ibrahim H Ahmed , Cillian Brewitt , Ignacio Carlucho , Filippos Christianos
AI Communications ( Preprint) 1 -12
3
2022
Robust on-policy data collection for data-efficient policy evaluation
Rujie Zhong , Josiah P Hanna , Lukas Schäfer , Stefano V Albrecht
Smpte Journal
2
2021
Temporal disentanglement of representations for improved generalisation in reinforcement learning
Mhairi Dunion , Trevor McInroe , Kevin Sebastian Luck , Josiah P Hanna
arXiv preprint arXiv:2207.05480
2
2022
Learning Complex Teamwork Tasks using a Sub-task Curriculum
Elliot Fosong , Arrasy Rahman , Ignacio Carlucho , Stefano V Albrecht
arXiv preprint arXiv:2302.04944
2023
Decoupled reinforcement learning to stabilise intrinsically-motivated exploration
Lukas Schäfer , Filippos Christianos , Josiah P Hanna , Stefano V Albrecht
arXiv preprint arXiv:2107.08966
7
2021
Revisiting the Gumbel-Softmax in MADDPG
Callum Rhys Tilbury , Filippos Christianos , Stefano V Albrecht
arXiv preprint arXiv:2302.11793
2023
Learning representations for control with hierarchical forward models
Trevor McInroe , Lukas Schäfer , Stefano V Albrecht
arXiv preprint arXiv:2206.11396
1
2022
A Survey of Ad Hoc Teamwork Research
William Macke , Mohan Sridharan , Peter Stone , Stefano V Albrecht
Smpte Journal 13442 275
2022
Learning temporally-consistent representations for data-efficient reinforcement learning
Trevor McInroe , Lukas Schäfer , Stefano V Albrecht
arXiv preprint arXiv:2110.04935
3
2021
Emergent behaviours in multi-agent systems with Evolutionary Game Theory.
Stefano V Albrecht , Michael Woolridge ,
AI Communications 35 ( 4)
2
2022
Local information agent modelling in partially-observable environments
Georgios Papoudakis , Filippos Christianos , Stefano V Albrecht
arXiv preprint arXiv:2006.09447
5
2021
Expressivity of Emergent Language is a Trade-off between Contextual Complexity and Unpredictability
Shangmin Guo , Yi Ren , Kory Mathewson , Simon Kirby
International Conference on Learning Representations
14
2022
ICED: Zero-Shot Transfer in Reinforcement Learning via In-Context Environment Design
Samuel Garcin , James Doran , Shangmin Guo , Christopher G Lucas
arXiv preprint arXiv:2402.03479
2024
Planning to go out-of-distribution in offline-to-online reinforcement learning
Trevor McInroe , Stefano V Albrecht , Amos Storkey
arXiv preprint arXiv:2310.05723
2
2023
LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots
Dongge Han , Trevor McInroe , Adam Jelley , Stefano V Albrecht
arXiv preprint arXiv:2404.14285
2024
Sample Relationship from Learning Dynamics Matters for Generalisation
Shangmin Guo , Yi Ren , Stefano V Albrecht , Kenny Smith
arXiv preprint arXiv:2401.08808
2024
Filippos Christianos Lukas Schäfer Georgios Papoudakis Muhammad Arrasy Rahman Peter Stone Francisco Eiras Ignacio Carlucho Balint Gyevnar Mihai Dobre Josiah P. Hanna Cillian Brewitt Majd Hawasly Cheng Wang Jacob W. Crandall Morris Antonello Trevor McInroe Samuel Garcin John Wilhelm Christopher G. Lucas Mohan Sridharan