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Albrecht, Stefano V.

  1. Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
    2020/06/14 by Papoudakis, Georgios, Christianos, Filippos, Schäfer, Lukas +1 · 35 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA)
  2. Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning
    2020/06/18 by Arrasy Rahman, Niklas Höpner, Rahman, Arrasy +5 · 9 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics #Transportation and Mobility Innovations
  3. Agent Modelling under Partial Observability for Deep Reinforcement Learning
    2020/06/16 by Georgios Papoudakis, Filippos Christianos, Papoudakis, Georgios +3 · 9 citations
    Computer Science · #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics
  4. Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
    2019/06/11 by Papoudakis, Georgios, Christianos, Filippos, Rahman, Arrasy +1 · 7 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA)
  5. Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
    2021/02/15 by Christianos, Filippos, Papoudakis, Georgios, Rahman, Arrasy +1 · 7 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
  6. Stabilizing Generative Adversarial Networks: A Survey
    2019/09/30 by Wiatrak, Maciej, Albrecht, Stefano V., Nystrom, Andrew · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
    2023/05/23 by Dunion, Mhairi, McInroe, Trevor, Luck, Kevin Sebastian +2 · 8 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  8. A Survey of Ad Hoc Teamwork Research
    2022/02/16 by Mirsky, Reuth, Carlucho, Ignacio, Rahman, Arrasy +5 · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
  9. Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning
    2022/09/28 by Filippos Christianos, Georgios Papoudakis, Christianos, Filippos +3 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics
  10. Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
    2022/12/22 by Krnjaic, Aleksandar, Steleac, Raul D., Thomas, Jonathan D. +8 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Robotics (cs.RO)
  11. A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning
    2022/10/11 by Arrasy Rahman, Ignacio Carlucho, Rahman, Arrasy +5 · 4 citations
    Computer Science · Social Sciences · #Access Control and Trust #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multiagent Systems (cs.MA) #Privacy-Preserving Technologies in Data #Reinforcement Learning in Robotics
  12. Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
    2022/07/12 by Mhairi Dunion, Trevor McInroe, Dunion, Mhairi +7 · 4 citations
    Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  13. A Game-Theoretic Model and Best-Response Learning Method for Ad Hoc\n Coordination in Multiagent Systems
    2015/06/03 by Stefano V. Albrecht, Albrecht, Stefano V., Subramanian Ramamoorthy +1 · 2 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Game Theory and Applications #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics
  14. Generating Teammates for Training Robust Ad Hoc Teamwork Agents via Best-Response Diversity
    2022/07/28 by Arrasy Rahman, Elliot Fosong, Rahman, Arrasy +5 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Reinforcement Learning in Robotics #Topic Modeling
  15. Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning
    2022/06/22 by Trevor McInroe, Lukas Schäfer, McInroe, Trevor +3 · 3 citations
    Engineering · Computer Science · #Advanced Control Systems Optimization #Control Systems and Identification #Fuzzy Logic and Control Systems
  16. Variational Autoencoders for Opponent Modeling in Multi-Agent Systems
    2020/01/29 by Papoudakis, Georgios, Albrecht, Stefano V. · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots
    2024/04/22 by Dongge Han, Trevor McInroe, Han, Dongge +9 · 4 citations
    Engineering · #Robot Manipulation and Learning #Innovations in Concrete and Construction Materials #Modular Robots and Swarm Intelligence
  18. Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
    2025/03/08 by Garcin, Samuel, McInroe, Trevor, Castro, Pablo Samuel +4 · 7 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  19. Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning
    2021/11/29 by Zhong, Rujie, Zhang, Duohan, Schäfer, Lukas +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  20. lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning
    2024/01/16 by Shangmin Guo, Guo, Shangmin, Yi Ren +5 · 2 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
  21. On Convergence and Optimality of Best-Response Learning with Policy\n Types in Multiagent Systems
    2019/07/15 by Stefano V. Albrecht, Subramanian Ramamoorthy, Albrecht, Stefano V. +1 · 1 citation
    Computer Science · #Reinforcement Learning in Robotics #Machine Learning and Algorithms #Formal Methods in Verification
  22. Reasoning about Hypothetical Agent Behaviours and their Parameters
    2019/06/26 by Albrecht, Stefano V., Stone, Peter · 1 citation
    #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
  23. HyperMARL: Adaptive Hypernetworks for Multi-Agent RL
    2024/12/05 by Kale-ab Abebe Tessera, Tessera, Kale-ab Abebe, Arrasy Rahman +5 · 1 voice · 2 citations
    Computer Science · Business, Management and Accounting · #Multi-Agent Systems and Negotiation #Semantic Web and Ontologies #Business Process Modeling and Analysis
  24. A Two-Stage Optimization-based Motion Planner for Safe Urban Driving
    2020/02/06 by Eiras, Francisco, Hawasly, Majd, Albrecht, Stefano V. +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Optimization and Control (math.OC) #Robotics (cs.RO)
  25. Multi-view Disentanglement for Reinforcement Learning with Multiple Cameras
    2024/04/22 by Dunion, Mhairi, Albrecht, Stefano V. · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  26. PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving
    2020/11/01 by Pulver, Henry, Eiras, Francisco, Carozza, Ludovico +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  27. Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration
    2021/07/19 by Schäfer, Lukas, Christianos, Filippos, Hanna, Josiah P. +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  28. Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning
    2021/10/11 by McInroe, Trevor, Schäfer, Lukas, Albrecht, Stefano V. · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  29. Flash: Fast and Light Motion Prediction for Autonomous Driving with Bayesian Inverse Planning and Learned Motion Profiles
    2022/03/15 by Morris Antonello, Mihai Dobre, Antonello, Morris +7 · 1 citation
    Engineering · #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Robotics (cs.RO) #Traffic Prediction and Management Techniques #Traffic and Road Safety
  30. Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning
    2022/07/05 by Schäfer, Lukas, Christianos, Filippos, Storkey, Amos +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
  31. Is Feedback All You Need? Leveraging Natural Language Feedback in Goal-Conditioned Reinforcement Learning
    2023/12/07 by Sabrina McCallum, Max Taylor-Davies, McCallum, Sabrina +5 · 2 citations
    Computer Science · #Topic Modeling #Reinforcement Learning in Robotics #Speech and dialogue systems
  32. Causal Explanations for Sequential Decision-Making in Multi-Agent Systems
    2023/02/21 by Gyevnar, Balint, Wang, Cheng, Lucas, Christopher G. +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.9 #Robotics (cs.RO)
  33. Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models
    2022/10/26 by Christianos, Filippos, Karkus, Peter, Ivanovic, Boris +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  34. Revisiting the Gumbel-Softmax in MADDPG
    2023/02/23 by Callum Rhys Tilbury, Tilbury, Callum Rhys, Filippos Christianos +3 · 1 citation
    Computer Science · #Adaptive Dynamic Programming Control #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics
  35. DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
    2024/02/05 by Samuel Garcin, Garcin, Samuel, J. Doran +7 · 1 citation
    Neuroscience · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neuroscience and Neural Engineering
  36. Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning
    2023/10/09 by McInroe, Trevor, Jelley, Adam, Albrecht, Stefano V. +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  37. Integrating Counterfactual Simulations with Language Models for Explaining Multi-Agent Behaviour
    2025/05/23 by Bálint Gyevnár, Christopher G. Lucas, Gyevnár, Bálint +5 · 2 voices · 1 citation
    #cs.AI
  38. Optimistic ε-Greedy Exploration for Cooperative Multi-Agent Reinforcement Learning
    2025/02/05 by Ruoning Zhang, Zhang, Ruoning, Siying Wang +12 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics