RLC 2024 Workshop CoCoMARL Submissions

Optimal Task Generalisation in Multi-Agent Reinforcement Learning
Simon Rosen, Abdel Mfougouon Njupoun, Geraud Nangue Tasse, Steven James, Benjamin Rosman
- Published: 01 Jun 2024, Last Modified: 26 Jul 2024
- CoCoMARL 2024 Poster
- Readers: Everyone
Cooperative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning
Raffaele Galliera, K. Brent Venable, Niranjan Suri, Matteo Bassani
- Published: 01 Jun 2024, Last Modified: 27 Jul 2024
- CoCoMARL 2024 Oral
- Readers: Everyone
Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning
Aditya Kapoor, Sushant Swamy, Kale-ab Tessera, Mayank Baranwal, Mingfei Sun, Harshad Khadilkar, Stefano V Albrecht
- Published: 01 Jun 2024, Last Modified: 17 Jun 2024
- CoCoMARL 2024 Poster
- Readers: Everyone
RACCOON: Regret-based Adaptive Curricula for Cooperation
Hannah Erlebach, Jonathan Cook
- Published: 01 Jun 2024, Last Modified: 25 Jul 2024
- CoCoMARL 2024 Oral
- Readers: Everyone
Towards Cooperation and Fairness in Multi-Agent Reinforcement Learning
Jasmine Jerry Aloor, Siddharth Nayak, Sydney Dolan, Victor L Qin, Hamsa Balakrishnan
- Published: 01 Jun 2024, Last Modified: 09 Aug 2024
- CoCoMARL 2024 Poster
- Readers: Everyone
Towards Fair and Equitable Policy Learning in Cooperative Multi-Agent Reinforcement Learning
Umer Siddique, Peilang Li, Yongcan Cao
- Published: 01 Jun 2024, Last Modified: 24 Jun 2024
- CoCoMARL 2024 Poster
- Readers: Everyone
Opponent Transformer: Modeling Opponent Policies as a Sequence Problem
Conor Wallace, Umer Siddique, Yongcan Cao
- Published: 01 Jun 2024, Last Modified: 17 Jul 2024
- CoCoMARL 2024 Poster
- Readers: Everyone
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
Hao-Lun Hsu, Weixin Wang, Miroslav Pajic, Pan Xu
- Published: 01 Jun 2024, Last Modified: 24 Jul 2024
- CoCoMARL 2024 Poster
- Readers: Everyone
Reinforcement Learning with Cognitive Bias for Human-AI Ad Hoc Teamwork
Shray Bansal, Jin Xu, Miguel Morales, Jonathan Streater, Ayanna Howard, Charles Lee Isbell
- Published: 01 Jun 2024, Last Modified: 08 Aug 2024
- CoCoMARL 2024 Poster
- Readers: Everyone
STA-RLHF: Stackelberg Aligned Reinforcement Learning with Human Feedback
Jacob Makar-Limanov, Arjun Prakash, Denizalp Goktas, Nora Ayanian, Amy Greenwald
- Published: 01 Jun 2024, Last Modified: 26 Jul 2024
- CoCoMARL 2024 Oral
- Readers: Everyone
On the impact of lowering temperature on learning with behavior clones
Kenneth J. K. Ong
- Published: 01 Jun 2024, Last Modified: 26 Jul 2024
- CoCoMARL 2024 Poster
- Readers: Everyone
Towards Safety in Multi-agent Reinforcement Learning through Security and Privacy by Design
Kyle Tilbury, Bailey Kacsmar, Jesse Hoey
- Published: 01 Jun 2024, Last Modified: 26 Jul 2024
- CoCoMARL 2024 Poster
- Readers: Everyone
The Power in Communication: Power Regularization of Communication for Autonomy in Cooperative Multi-Agent Reinforcement Learning
Nancirose G Piazza, Vahid Behzadan, Stefan Sarkadi
- Published: 01 Jun 2024, Last Modified: 24 Jul 2024
- CoCoMARL 2024 Poster
- Readers: Everyone
CoDreamer: Communication-Based Decentralised World Models
Edan Toledo, Amanda Prorok
- Published: 01 Jun 2024, Last Modified: 02 Jul 2024
- CoCoMARL 2024 HonourableMention
- Readers: Everyone
Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit
Mengfan Xu, Diego Klabjan
- Published: 01 Jun 2024, Last Modified: 26 Jul 2024
- CoCoMARL 2024 Poster
- Readers: Everyone
Human-Machine Cooperation through Human-Like Visual Search Model
Aditya Acharya, Chris Baber, Leonardo Stella, Andrew Howes
- Published: 01 Jun 2024, Last Modified: 19 Jul 2024
- CoCoMARL 2024 Poster
- Readers: Everyone
Communication-Efficient Algorithm for Asynchronous Multi-Agent Bandits
Xuchuang Wang, Yu-Zhen Janice Chen, Xutong Liu, Lin Yang, Mohammad Hajiesmaili, Don Towsley, John C.S. Lui
- Published: 01 Jun 2024, Last Modified: 16 Jul 2024
- CoCoMARL 2024 HonourableMention
- Readers: Everyone
Coordination Machines for Minimizing Communication in Multi-Agent Reinforcement Learning
Jacob Heglund, Huy T Tran
- Published: 01 Jun 2024, Last Modified: 08 Aug 2024
- CoCoMARL 2024 Poster
- Readers: Everyone
Cooperative Multi-agent Bandits: Distributed Algorithms with Optimal Individual Regret and Communication Costs
Lin Yang, Xuchuang Wang, Mohammad Hajiesmaili, Lijun Zhang, John C.S. Lui, Don Towsley
- Published: 01 Jun 2024, Last Modified: 20 Jul 2024
- CoCoMARL 2024 Poster
- Readers: Everyone
Human-compatible driving partners through data-regularized self-play reinforcement learning
Daphne Cornelisse, Eugene Vinitsky
- Published: 01 Jun 2024, Last Modified: 17 Jun 2024
- CoCoMARL 2024 Poster
- Readers: Everyone
Large Batch Sharing
Thibault Lahire
- Published: 01 Jun 2024, Last Modified: 17 Jun 2024
- CoCoMARL 2024 Oral
- Readers: Everyone