Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Dasgupta, Nayana, Musolesi, Mirco |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
by: Fung, Ho Long, et al.
Published: (2022)
by: Fung, Ho Long, et al.
Published: (2022)
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making
by: Minelli, Giovanni, et al.
Published: (2023)
by: Minelli, Giovanni, et al.
Published: (2023)
Dynamics of Moral Behavior in Heterogeneous Populations of Learning Agents
by: Tennant, Elizaveta, et al.
Published: (2024)
by: Tennant, Elizaveta, et al.
Published: (2024)
Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis
by: Rudd-Jones, James, et al.
Published: (2025)
by: Rudd-Jones, James, et al.
Published: (2025)
Hybrid Approaches for Moral Value Alignment in AI Agents: a Manifesto
by: Tennant, Elizaveta, et al.
Published: (2023)
by: Tennant, Elizaveta, et al.
Published: (2023)
Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies
by: Pisacane, Alexei, et al.
Published: (2024)
by: Pisacane, Alexei, et al.
Published: (2024)
Opponent Shaping in LLM Agents
by: Segura, Marta Emili Garcia, et al.
Published: (2025)
by: Segura, Marta Emili Garcia, et al.
Published: (2025)
Coordination Matters: Evaluation of Cooperative Multi-Agent Reinforcement Learning
by: Cardei, Maria Ana, et al.
Published: (2026)
by: Cardei, Maria Ana, et al.
Published: (2026)
The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning
by: Li, Yurui, et al.
Published: (2025)
by: Li, Yurui, et al.
Published: (2025)
LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
by: Bae, Sangjun, et al.
Published: (2026)
by: Bae, Sangjun, et al.
Published: (2026)
Hierarchical Reinforcement Learning for Optimal Agent Grouping in Cooperative Systems
by: Hu, Liyuan
Published: (2025)
by: Hu, Liyuan
Published: (2025)
Emergence of Fair Leaders via Mediators in Multi-Agent Reinforcement Learning
by: Dodwadmath, Akshay, et al.
Published: (2025)
by: Dodwadmath, Akshay, et al.
Published: (2025)
Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning
by: Liu, Lunjun, et al.
Published: (2024)
by: Liu, Lunjun, et al.
Published: (2024)
Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
by: Li, Simin, et al.
Published: (2025)
by: Li, Simin, et al.
Published: (2025)
Centralized Permutation Equivariant Policy for Cooperative Multi-Agent Reinforcement Learning
by: Xu, Zhuofan, et al.
Published: (2025)
by: Xu, Zhuofan, et al.
Published: (2025)
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey
by: Jiang, Jiechuan, et al.
Published: (2024)
by: Jiang, Jiechuan, et al.
Published: (2024)
MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning
by: Yang, Kuo, et al.
Published: (2025)
by: Yang, Kuo, et al.
Published: (2025)
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
by: Kontogiannis, Andreas, et al.
Published: (2025)
by: Kontogiannis, Andreas, et al.
Published: (2025)
AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning
by: Zhou, Guangchong, et al.
Published: (2024)
by: Zhou, Guangchong, et al.
Published: (2024)
MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning
by: Hu, Tianmeng, et al.
Published: (2026)
by: Hu, Tianmeng, et al.
Published: (2026)
A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes
by: Cheruiyot, Kemboi, et al.
Published: (2025)
by: Cheruiyot, Kemboi, et al.
Published: (2025)
${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
by: Chen, Dingyang, et al.
Published: (2023)
by: Chen, Dingyang, et al.
Published: (2023)
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions
by: Macmillan-Scott, Olivia, et al.
Published: (2023)
by: Macmillan-Scott, Olivia, et al.
Published: (2023)
Challenges in Credit Assignment for Multi-Agent Reinforcement Learning in Open Agent Systems
by: Abadi, Alireza Saleh, et al.
Published: (2025)
by: Abadi, Alireza Saleh, et al.
Published: (2025)
Interpretable Failure Analysis in Multi-Agent Reinforcement Learning Systems
by: Shefin, Risal Shahriar, et al.
Published: (2026)
by: Shefin, Risal Shahriar, et al.
Published: (2026)
When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
by: Amir, Michael, et al.
Published: (2025)
by: Amir, Michael, et al.
Published: (2025)
Innate-Values-driven Reinforcement Learning based Cooperative Multi-Agent Cognitive Modeling
by: Yang, Qin
Published: (2024)
by: Yang, Qin
Published: (2024)
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning
by: Yu, Xiaoyang, et al.
Published: (2023)
by: Yu, Xiaoyang, et al.
Published: (2023)
Descent-Guided Policy Gradient for Scalable Cooperative Multi-Agent Learning
by: Yang, Shan, et al.
Published: (2026)
by: Yang, Shan, et al.
Published: (2026)
Emergent Cooperation in Quantum Multi-Agent Reinforcement Learning Using Communication
by: Kölle, Michael, et al.
Published: (2026)
by: Kölle, Michael, et al.
Published: (2026)
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
by: Liu, Sicong, et al.
Published: (2025)
by: Liu, Sicong, et al.
Published: (2025)
Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
by: Du, Hung, et al.
Published: (2025)
by: Du, Hung, et al.
Published: (2025)
Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning
by: Huh, Dom, et al.
Published: (2024)
by: Huh, Dom, et al.
Published: (2024)
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
by: Bettini, Matteo, et al.
Published: (2023)
by: Bettini, Matteo, et al.
Published: (2023)
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
by: Liu, Shunyu, et al.
Published: (2022)
by: Liu, Shunyu, et al.
Published: (2022)
Towards Fault Tolerance in Multi-Agent Reinforcement Learning
by: Shi, Yuchen, et al.
Published: (2024)
by: Shi, Yuchen, et al.
Published: (2024)
Multi-Agent Car Parking using Reinforcement Learning
by: Tanner, Omar
Published: (2022)
by: Tanner, Omar
Published: (2022)
Reinforcement Networks: novel framework for collaborative Multi-Agent Reinforcement Learning tasks
by: Kryzhanovskiy, Maksim, et al.
Published: (2025)
by: Kryzhanovskiy, Maksim, et al.
Published: (2025)
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
by: Castagna, Alberto
Published: (2025)
by: Castagna, Alberto
Published: (2025)
Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2023)
by: Formanek, Claude, et al.
Published: (2023)
Similar Items
-
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
by: Fung, Ho Long, et al.
Published: (2022) -
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making
by: Minelli, Giovanni, et al.
Published: (2023) -
Dynamics of Moral Behavior in Heterogeneous Populations of Learning Agents
by: Tennant, Elizaveta, et al.
Published: (2024) -
Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis
by: Rudd-Jones, James, et al.
Published: (2025) -
Hybrid Approaches for Moral Value Alignment in AI Agents: a Manifesto
by: Tennant, Elizaveta, et al.
Published: (2023)