Inter-Agent Relative Representations for Multi-Agent Option Discovery
Fuente:
arXiv
Saved in:
| Main Authors: | Steleac, Raul D., Sridharan, Mohan, Abel, David |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
by: Krnjaic, Aleksandar, et al.
Published: (2022)
by: Krnjaic, Aleksandar, et al.
Published: (2022)
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework
by: Kim, JaeYoon, et al.
Published: (2023)
by: Kim, JaeYoon, et al.
Published: (2023)
DeltaHedge: A Multi-Agent Framework for Portfolio Options Optimization
by: Bańka, Feliks, et al.
Published: (2025)
by: Bańka, Feliks, et al.
Published: (2025)
Traceable Latent Variable Discovery Based on Multi-Agent Collaboration
by: Du, Huaming, et al.
Published: (2026)
by: Du, Huaming, et al.
Published: (2026)
DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration
by: Liu, Sizhe, et al.
Published: (2024)
by: Liu, Sizhe, et al.
Published: (2024)
AI Agents in Drug Discovery
by: Seal, Srijit, et al.
Published: (2025)
by: Seal, Srijit, et al.
Published: (2025)
MACTAS: Self-Attention-Based Inter-Agent Communication in Multi-Agent Reinforcement Learning with Action-Value Function Decomposition
by: Wojtala, Maciej, et al.
Published: (2025)
by: Wojtala, Maciej, et al.
Published: (2025)
Flexible Online Representation Learning Based on Similarity Matching
by: Sridharan, Shagesh, et al.
Published: (2026)
by: Sridharan, Shagesh, et al.
Published: (2026)
MAGIC-MASK: Multi-Agent Guided Inter-Agent Collaboration with Mask-Based Explainability for Reinforcement Learning
by: Maliha, Maisha, et al.
Published: (2025)
by: Maliha, Maisha, et al.
Published: (2025)
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
by: Li, Dong, et al.
Published: (2026)
by: Li, Dong, et al.
Published: (2026)
Reinforcement Learning with Options and State Representation
by: Ghriss, Ayoub, et al.
Published: (2024)
by: Ghriss, Ayoub, et al.
Published: (2024)
PiFlow: Principle-Aware Scientific Discovery with Multi-Agent Collaboration
by: Pu, Yingming, et al.
Published: (2025)
by: Pu, Yingming, et al.
Published: (2025)
RelAgent: LLM Agents as Data Scientists for Relational Learning
by: Huang, Xingyue, et al.
Published: (2026)
by: Huang, Xingyue, et al.
Published: (2026)
Atomic Action Slicing: Planner-Aligned Options for Generalist VLA Agents
by: Tabakov, Stefan, et al.
Published: (2025)
by: Tabakov, Stefan, et al.
Published: (2025)
Shallow Representation of Option Implied Information
by: Lin, Jimin
Published: (2026)
by: Lin, Jimin
Published: (2026)
Quantum Agents for Algorithmic Discovery
by: Kerenidis, Iordanis, et al.
Published: (2025)
by: Kerenidis, Iordanis, et al.
Published: (2025)
IGDA: Interactive Graph Discovery through Large Language Model Agents
by: Havrilla, Alex, et al.
Published: (2025)
by: Havrilla, Alex, et al.
Published: (2025)
Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning
by: Zhu, Ting, et al.
Published: (2024)
by: Zhu, Ting, et al.
Published: (2024)
Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion-Forecasting
by: Schofield, Hunter, et al.
Published: (2024)
by: Schofield, Hunter, et al.
Published: (2024)
MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding
by: Han, Siwei, et al.
Published: (2025)
by: Han, Siwei, et al.
Published: (2025)
RF-Agent: Automated Reward Function Design via Language Agent Tree Search
by: Gao, Ning, et al.
Published: (2026)
by: Gao, Ning, et al.
Published: (2026)
Learning Strategy Representation for Imitation Learning in Multi-Agent Games
by: Lei, Shiqi, et al.
Published: (2024)
by: Lei, Shiqi, et al.
Published: (2024)
Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning
by: Huh, Dom, et al.
Published: (2024)
by: Huh, Dom, et al.
Published: (2024)
PriM: Principle-Inspired Material Discovery through Multi-Agent Collaboration
by: Lai, Zheyuan, et al.
Published: (2025)
by: Lai, Zheyuan, et al.
Published: (2025)
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
by: Shen, ChengAo, et al.
Published: (2024)
by: Shen, ChengAo, et al.
Published: (2024)
RAG-Enhanced Collaborative LLM Agents for Drug Discovery
by: Lee, Namkyeong, et al.
Published: (2025)
by: Lee, Namkyeong, et al.
Published: (2025)
Enabling Multi-Agent Transfer Reinforcement Learning via Scenario Independent Representation
by: Nipu, Ayesha Siddika, et al.
Published: (2024)
by: Nipu, Ayesha Siddika, et al.
Published: (2024)
Multi-Agent Lipschitz Bandits
by: Chakraborty, Sourav, et al.
Published: (2026)
by: Chakraborty, Sourav, et al.
Published: (2026)
AgentSlimming: Towards Efficient and Cost-Aware Multi-Agent Systems
by: Chen, Yulang, et al.
Published: (2026)
by: Chen, Yulang, et al.
Published: (2026)
Option Discovery Using LLM-guided Semantic Hierarchical Reinforcement Learning
by: Shek, Chak Lam, et al.
Published: (2025)
by: Shek, Chak Lam, et al.
Published: (2025)
Learning Graph Representation of Agent Diffusers
by: Djenouri, Youcef, et al.
Published: (2025)
by: Djenouri, Youcef, et al.
Published: (2025)
Evaluating Memory Condensation Strategies for Coding Agents in Data-Driven Scientific Discovery
by: Chintalapati, Renuka, et al.
Published: (2026)
by: Chintalapati, Renuka, et al.
Published: (2026)
MechRL: Reinforcement Learning Agents Perform Circuit Discovery for Mechanistic Interpretability
by: Khadka, Barsat
Published: (2026)
by: Khadka, Barsat
Published: (2026)
Step-by-Step Causality: Transparent Causal Discovery with Multi-Agent Tree-Query and Adversarial Confidence Estimation
by: Ding, Ziyi, et al.
Published: (2026)
by: Ding, Ziyi, et al.
Published: (2026)
Online Learning with Improving Agents: Multiclass, Budgeted Agents and Bandit Learners
by: Ashkezari, Sajad, et al.
Published: (2026)
by: Ashkezari, Sajad, et al.
Published: (2026)
Fairness Auditing with Multi-Agent Collaboration
by: de Vos, Martijn, et al.
Published: (2024)
by: de Vos, Martijn, et al.
Published: (2024)
Agent-Agnostic Centralized Training for Decentralized Multi-Agent Cooperative Driving
by: Yan, Shengchao, et al.
Published: (2024)
by: Yan, Shengchao, et al.
Published: (2024)
AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs
by: Grötschla, Florian, et al.
Published: (2025)
by: Grötschla, Florian, et al.
Published: (2025)
Agent Bazaar: Enabling Economic Alignment in Multi-Agent Marketplaces
by: Karten, Seth, et al.
Published: (2026)
by: Karten, Seth, et al.
Published: (2026)
Relational Causal Discovery with Latent Confounders
by: Negro, Matteo, et al.
Published: (2025)
by: Negro, Matteo, et al.
Published: (2025)
Similar Items
-
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
by: Krnjaic, Aleksandar, et al.
Published: (2022) -
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework
by: Kim, JaeYoon, et al.
Published: (2023) -
DeltaHedge: A Multi-Agent Framework for Portfolio Options Optimization
by: Bańka, Feliks, et al.
Published: (2025) -
Traceable Latent Variable Discovery Based on Multi-Agent Collaboration
by: Du, Huaming, et al.
Published: (2026) -
DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration
by: Liu, Sizhe, et al.
Published: (2024)