27 Sep 2024
Our project on Discipline hop for high-fidelity, high-generalisation models of human behaviour is funded by EPSRC, paternering with Matteo Leonetti (KCL) and Gustav Markkula from University of Leeds.
26 Sep 2024
Five papers are accepted to NeurIPS 2025! We explored RL for cooperative games and LLMs for werewolves, football, human instruction following!
6 Sep 2024
Exciting news! Nature Machine Intelligence has featured our work on decentralized multi-agent reinforcement learning for large-scale networked control, on cracking the scaling challenge of MARL. Welcome to check it out here!
1 Sep 2024
Exciting news! Our review on safe RL entitled A review of safe reinforcement learning: Methods, theory and applications has been accepted to IEEE TPAMI. Congrats to Shangding! Read the preprint here!
2 May 2024
One paper is accepted to ICML 2024. We explore Zero-shot Cross-task Preference Alignment for Robotic Manipulation. Earlier version appears on NeurIPS 2023 workshop on Optimal Transport.
27 Mar 2024
Yali Du has been invited to serve as an Area Chair for NeurIPS 2024.
01 Mar 2024
Yali Du has joined the NeurIPS organizing committee as a Communications Chair for NeurIPS 2024.
01 Mar 2024
Yali Du is appointed as a Turing Fellow at The Alan Turing Institute.
06 Feb 2024
One PostDoc position available in Multi-Agent Reinforcement Learning and Foundation Models. Deadline: 12 Mar 2024. Please apply here.
01 Jan 2024
Yali Du received support from EPSRC grant on (Exploring Causality in Reinforcement Learning for Robust Decision Making). One postdoc position is to be filled. Please get in touch if you are interested.
23 Dec 2023
Yali Du has sat on the UK Parliamentary Office of Science and Technology(POST) board for Artificial Intelligence, contributing to a Government briefing document which helps to define how AI can be used, how AI works, and discusses concerns and perceptions surrounding AI.
20 Dec 2023
Two papers are accepted to AAMAS 2024. We explore safe RL from human natural language constraints and selfishness level of Markov games. Congrats to Xingzhou and Stefan!
10 Dec 2023
Three papers are accepted to AAAI 2024. We explore spatial-temporal credit assignment/ morality aware agent/multi-agent policy gradient. More details will be shared soon!
8 Dec 2023
We are excited to announce the completion of A Review on Cooperative Multi-agent Learning in collaboration with DeepMind. Comments and feedback are welcomed!
22 Sep 2023
Five papers are accepted to NeurIPS 2023. We explore safe RL/interpretable credit assignment with causal modelling/LLM-aligned policy learning and human-AI coordination. More details will be shared soon!
6 May, 2023
One paper is accepted to ICML 2023 on two-player zero-shot coordination . We study how to overcome the problem of cooperative incompatibility and achieve better collaboration with unknown teammates!
20 Mar, 2023
One paper is accepted to AI Journal. We explore safe multi-robot control by reinforcement learning.
Feb 10, 2023
Yali Du is selected for the 2023 AAAI New Faculty Highlights Program!
Feb 7, 2023
Yali Du and Dr. Joel Z. Leibo (DeepMind) will give a tutorial on “Cooperative multi-agent learning: a review of progress and challenges” at AAAI 2023. Link to tutorial website.
Jan 29, 2023
One paper on Moral RL is accepted to ICLR 2023. We explore a tradeoff between morality and task progress in text-based games!
Jan 25, 2023
Welcome Jinyu Cai to visit our group!
Jan 3, 2023
Two papers are accepted to AAMAS2023, 1) on Human-AI coordination on overcooked AI, 2) on learnability of Nash Equilibrium.
Dec 15, 2022
Welcome Ziyan Wang to join our group as a PhD student!
Dec 12, 2022
Yali Du and Dr. Joel Z. Leibo (DeepMind) gave a tutorial on “Cooperative multi-agent learning: a review of progress and challenges” at ACML 2022. Link to tutorial website.
Nov 23, 2022
Welcome Dr. Tingting Yuan from University of Göttingen, Germany to visit our group. Her visit is supported by Alexander von Humboldt Foundation
Sep 1, 2022
We are organizing the 1st International Workshop on Safe Reinforcement Learning Theory and its Applications at 2022 IEEE International Conference on Multisensor Fusion and Integration (20-22 Sep). Registration Deadline: Sep 1, 2022.
Aug 17, 2022
- Yali Du giving a talk on “Decision Structure in Decentralized Multi-Agent Learning” at International Joint Conference on Theoretical Computer Science – Frontier of Algorithmic Wisdom (IJTCS-FAW) 2022.
Jun 30, 2022
One paper on “Scalable model-based policy optimization for decentralized networked systems” has been accepted by 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Mar 08, 2022
Yali Du is Invited to give a tutorial at Oxford Machine Learning Summer School. This is a three-hour tutorial on optimisation for machine learning. Welcome to join!
Jan 21, 2022
Our paper on offline goal-conditioned reinforcement learning has been accepted by ICLR 2022.
Dec 10, 2021
One paper got accepted by AAMAS 2022. We propose to coordinate agents’ behaviors based on directed acyclic graphs (DAGs).
Nov 10, 2021
Yali Du is invited to serve as Session Chair for Reinforcement Learning in Asian Conference on Machine Learning 2021.
Aug 16, 2021
Yali Du is invited talk on RLChina summer school, check schedule.
Aug 07, 2021
Yali Du is invited to serve as Senior PC for AAAI 2022.
Jul 10, 2021
Our paper on Reinforcement Learning for Vehicle Routing has been accepted by IEEE Transactions on Cybernetics.
May 08, 2021
Two papers on multi-agent evaluation by alpha-rank and solving general sum stochastic games are accepted by ICML 2021.
Apr 29, 2021
Our paper on reinforcement learning for causal discovery has been accepted by IJCAI-21.
Jan 16, 2021
Our paper on reinforcement learning for multi-aspect recommendation has been accepted by The Web Conference.
Dec 18, 2020
One paper on learning correlated communication topology for MARL has been accepted by AAMAS 2021 (Online) as oral presentation.
Dec 09, 2020
Yali Du is invited to serve as the reviewer for ICML 2021.
Sep 26, 2020
One paper on RL for text-based games is accepted by NeurIPS 2020.
Aug 17, 2020
Yali Du is invited to serve as the PC for AAAI 2020.
Apr 4, 2020
Yali Du is invited talk at Youth Forum in Center on Frontiers of Computing, Peking University. Details can be found here.
Mar 1, 2020
Yali Du is invited to serve as the Reviewer for NeurIPS and IROS 2020.
Dec 1, 2019
Yali Du is invited to serve as the PC of IJCAI, ICML 2020.