Cover Image

Generalisable Agents for Neural Network Optimisation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tessera, Kale-ab, Tilbury, Callum Rhys, Abramowitz, Sasha, de Kock, Ruan, Mahjoub, Omayma, Rosman, Benjamin, Hooker, Sara, Pretorius, Arnu
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2023)

Multi-Agent Reinforcement Learning with Selective State-Space Models
by: Daniel, Jemma, et al.
Published: (2024)

Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2024)

Coordination Failure in Cooperative Offline MARL
by: Tilbury, Callum Rhys, et al.
Published: (2024)

Sable: a Performant, Efficient and Scalable Sequence Model for MARL
by: Mahjoub, Omayma, et al.
Published: (2024)

Efficiently Quantifying Individual Agent Importance in Cooperative MARL
by: Mahjoub, Omayma, et al.
Published: (2023)

How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning
by: Singh, Siddarth, et al.
Published: (2023)

HyperMARL: Adaptive Hypernetworks for Multi-Agent RL
by: Tessera, Kale-ab Abebe, et al.
Published: (2024)

Probing Dec-POMDP Reasoning in Cooperative MARL
by: Tessera, Kale-ab, et al.
Published: (2026)

Remembering the Markov Property in Cooperative MARL
by: Tessera, Kale-ab Abebe, et al.
Published: (2025)

Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies
by: Chalumeau, Felix, et al.
Published: (2025)

Redistributing Rewards Across Time and Agents for Multi-Agent Reinforcement Learning
by: Kapoor, Aditya, et al.
Published: (2025)

Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning
by: Kapoor, Aditya, et al.
Published: (2024)

Axiomatic Choice
by: Abramowitz, Ben, et al.
Published: (2025)

Heterogeneous Risk Management Using a Multi-Agent Framework for Supply Chain Disruption Response
by: Bi, Mingjie, et al.
Published: (2025)

Capital Games and Growth Equilibria
by: Abramowitz, Ben
Published: (2025)

Dynamic distributed decision-making for resilient resource reallocation in disrupted manufacturing systems
by: Bi, Mingjie, et al.
Published: (2025)

A Distributed Approach for Agile Supply Chain Decision-Making Based on Network Attributes
by: Bi, Mingjie, et al.
Published: (2025)

Networked Communication for Decentralised Cooperative Agents in Mean-Field Control
by: Benjamin, Patrick, et al.
Published: (2025)

Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation
by: Formanek, Claude, et al.
Published: (2024)

Efficient Investment in Multi-Agent Models of Public Transportation
by: Bullinger, Martin, et al.
Published: (2026)

Leveraging Graph Neural Networks and Multi-Agent Reinforcement Learning for Inventory Control in Supply Chains
by: Kotecha, Niki, et al.
Published: (2024)

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning
by: Dai, Pengcheng, et al.
Published: (2025)

Generalising Multi-Agent Cooperation through Task-Agnostic Communication
by: Jayalath, Dulhan, et al.
Published: (2024)

Generalising Travel Time Prediction To Varying Route Choices In Urban Networks
by: Gorczyca, Łukasz, et al.
Published: (2026)

Visual Reasoning over Time Series via Multi-Agent System
by: Ruan, Weilin, et al.
Published: (2026)

Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding
by: Chen, Zhe, et al.
Published: (2023)

Situational Awareness for Safe and Robust Multi-Agent Interactions Under Uncertainty
by: Alcorn, Benjamin, et al.
Published: (2025)

Learning the Preferences of a Learning Agent
by: Sadek, Karim Abdel, et al.
Published: (2026)

EvoCorps: An Evolutionary Multi-Agent Framework for Depolarizing Online Discourse
by: Lin, Ning, et al.
Published: (2026)

Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication
by: Li, Huao, et al.
Published: (2024)

Mean-Field Bayesian Optimisation
by: Steinberg, Petar, et al.
Published: (2025)

GenGrid: A Generalised Distributed Experimental Environmental Grid for Swarm Robotics
by: Kedia, Pranav, et al.
Published: (2025)

Characterizing MARL for Energy Control: A Multi-KPI Benchmark on the CityLearn Environment
by: Khouja, Aymen, et al.
Published: (2026)

Neural Power-Optimal Magnetorquer Solution for Multi-Agent Formation and Attitude Control
by: Takahashi, Yuta, et al.
Published: (2024)

Higher-Order Belief in Incomplete Information MAIDs
by: Foxabbott, Jack, et al.
Published: (2025)

Multi Agent Navigation in Unconstrained Environments using a Centralized Attention based Graphical Neural Network Controller
by: Ma, Yining, et al.
Published: (2023)

Self-Organizing Agent Network for LLM-based Workflow Automation
by: Xiong, Yiming, et al.
Published: (2025)

AgentCity: Constitutional Governance for Autonomous Agent Economies via Separation of Power
by: Ruan, Anbang, et al.
Published: (2026)

Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping
by: Krishnan, Srivatsan, et al.
Published: (2025)