Stefano V. Albrecht

Author Info

Name	Affiliation	Papers
STEFANO V. ALBRECHT	School of Informatics, University of Edinburgh, Edinburgh, United Kingdom	25
Collaborators	Citations	PageRank
52	103	10.61
Referers	Referees	References
227	501	331

Search Limit

100501

Publications (25 rows)

Collaborators (52 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Expressivity of Emergent Languages is a Trade-off between Contextual Complexity and Unpredictability	0	0.34	2022
Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration.	0	0.34	2022
A Two-Stage Optimization-Based Motion Planner for Safe Urban Driving	0	0.34	2022
Deep reinforcement learning for multi-agent interaction	0	0.34	2022
Perspectives on the system-level design of a safe autonomous driving stack	0	0.34	2022
GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving	0	0.34	2021
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning	0	0.34	2021
Towards Quantum-Secure Authentication and Key Agreement via Abstract Multi-Agent Interaction	0	0.34	2021
Interpretable Goal-based Prediction and Planning for Autonomous Driving	0	0.34	2021
PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving	0	0.34	2021
Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles	0	0.34	2021
Special issue on autonomous agents modelling other agents: Guest editorial.	1	0.35	2020
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning	0	0.34	2020
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning.	0	0.34	2019
Reasoning about Unforeseen Possibilities During Policy Learning.	0	0.34	2018
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems.	41	1.38	2018
Reasoning about Hypothetical Agent Behaviours and their Parameters.	1	0.35	2017
Special issue on multiagent interaction without prior coordination: guest editorial.	3	0.36	2017
Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks.	3	0.41	2016
Are You Doing What I Think You Are Doing? Criticising Uncertain Agent Models.	5	0.40	2015
Belief and Truth in Hypothesised Behaviours	11	0.48	2015
An Empirical Study On The Practical Impact Of Prior Beliefs Over Policy Types	4	0.42	2015
On Convergence And Optimality Of Best-Response Learning With Policy Types In Multiagent Systems	9	0.52	2014
A game-theoretic model and best-response learning method for ad hoc coordination in multiagent systems	15	0.59	2013
Comparative evaluation of MAL algorithms in a diverse set of ad hoc team problems	10	0.62	2012