Off-Policy Correction For Multi-Agent Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Zawalski, Michał, Osiński, Błażej, Michalewski, Henryk, Miłoś, Piotr |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Communication Methods in Multi-Agent Reinforcement Learning
by: Wittner, Christoph
Published: (2026)
by: Wittner, Christoph
Published: (2026)
Multi-Agent Reinforcement Learning with Selective State-Space Models
by: Daniel, Jemma, et al.
Published: (2024)
by: Daniel, Jemma, et al.
Published: (2024)
A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
by: Liu, Anjie, et al.
Published: (2025)
by: Liu, Anjie, et al.
Published: (2025)
Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games
by: Ghaemi, Hafez, et al.
Published: (2024)
by: Ghaemi, Hafez, et al.
Published: (2024)
FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation
by: Jiang, Wenzheng, et al.
Published: (2025)
by: Jiang, Wenzheng, et al.
Published: (2025)
AgensFlow: A Coordination-Policy Substrate for Multi-Agent Systems
by: Koenigstein, Nicole
Published: (2026)
by: Koenigstein, Nicole
Published: (2026)
Strategy Masking: A Method for Guardrails in Value-based Reinforcement Learning Agents
by: Keane, Jonathan, et al.
Published: (2025)
by: Keane, Jonathan, et al.
Published: (2025)
ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination
by: Amir, Michael, et al.
Published: (2025)
by: Amir, Michael, et al.
Published: (2025)
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning
by: Li, Xinran, et al.
Published: (2024)
by: Li, Xinran, et al.
Published: (2024)
Graphon Mean-Field Subsampling for Cooperative Heterogeneous Multi-Agent Reinforcement Learning
by: Anand, Emile, et al.
Published: (2026)
by: Anand, Emile, et al.
Published: (2026)
Social Interpretable Reinforcement Learning
by: Custode, Leonardo Lucio, et al.
Published: (2024)
by: Custode, Leonardo Lucio, et al.
Published: (2024)
Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control
by: de Mol, Barbera, et al.
Published: (2025)
by: de Mol, Barbera, et al.
Published: (2025)
Benefits and Limitations of Communication in Multi-Agent Reasoning
by: Rizvi-Martel, Michael, et al.
Published: (2025)
by: Rizvi-Martel, Michael, et al.
Published: (2025)
Dynamic Attentional Context Scoping: Agent-Triggered Focus Sessions for Isolated Per-Agent Steering in Multi-Agent LLM Orchestration
by: Patel, Nickson
Published: (2026)
by: Patel, Nickson
Published: (2026)
Collaboration Promotes Group Resilience in Multi-Agent RL
by: Shraga, Ilai, et al.
Published: (2021)
by: Shraga, Ilai, et al.
Published: (2021)
A Review of Nine Physics Engines for Reinforcement Learning Research
by: Kaup, Michael, et al.
Published: (2024)
by: Kaup, Michael, et al.
Published: (2024)
DM$^2$: Decentralized Multi-Agent Reinforcement Learning for Distribution Matching
by: Wang, Caroline, et al.
Published: (2022)
by: Wang, Caroline, et al.
Published: (2022)
Representational Collapse in Multi-Agent LLM Committees: Measurement and Diversity-Aware Consensus
by: Patel, Dipkumar
Published: (2026)
by: Patel, Dipkumar
Published: (2026)
Learning Approximate Nash Equilibria in Cooperative Multi-Agent Reinforcement Learning via Mean-Field Subsampling
by: Anand, Emile, et al.
Published: (2026)
by: Anand, Emile, et al.
Published: (2026)
Exploring Multi-Agent Reinforcement Learning for Unrelated Parallel Machine Scheduling
by: Zampella, Maria, et al.
Published: (2024)
by: Zampella, Maria, et al.
Published: (2024)
Networked Agents in the Dark: Team Value Learning under Partial Observability
by: Varela, Guilherme S., et al.
Published: (2025)
by: Varela, Guilherme S., et al.
Published: (2025)
Decentralized Multi-Agent Active Search and Tracking when Targets Outnumber Agents
by: Banerjee, Arundhati, et al.
Published: (2024)
by: Banerjee, Arundhati, et al.
Published: (2024)
A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry
by: Schester, Larry, et al.
Published: (2024)
by: Schester, Larry, et al.
Published: (2024)
Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems
by: Nath, Saptarshi, et al.
Published: (2025)
by: Nath, Saptarshi, et al.
Published: (2025)
Distributed Value Decomposition Networks with Networked Agents
by: Varela, Guilherme S., et al.
Published: (2025)
by: Varela, Guilherme S., et al.
Published: (2025)
The Problem of Social Cost in Multi-Agent General Reinforcement Learning: Survey and Synthesis
by: Ng, Kee Siong, et al.
Published: (2024)
by: Ng, Kee Siong, et al.
Published: (2024)
SRMT: Shared Memory for Multi-agent Lifelong Pathfinding
by: Sagirova, Alsu, et al.
Published: (2025)
by: Sagirova, Alsu, et al.
Published: (2025)
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
by: Bokade, Rohit, et al.
Published: (2024)
by: Bokade, Rohit, et al.
Published: (2024)
Centralized Permutation Equivariant Policy for Cooperative Multi-Agent Reinforcement Learning
by: Xu, Zhuofan, et al.
Published: (2025)
by: Xu, Zhuofan, et al.
Published: (2025)
Preserving Disagreement: Architectural Heterogeneity and Coherence Validation in Multi-Agent Policy Simulation
by: Sela, Ariel
Published: (2026)
by: Sela, Ariel
Published: (2026)
David vs. Goliath: Verifiable Agent-to-Agent Jailbreaking via Reinforcement Learning
by: Nellessen, Samuel, et al.
Published: (2026)
by: Nellessen, Samuel, et al.
Published: (2026)
Learning to Communicate Across Modalities: Perceptual Heterogeneity in Multi-Agent Systems
by: Pitzer, Naomi, et al.
Published: (2026)
by: Pitzer, Naomi, et al.
Published: (2026)
Characterizing MARL for Energy Control: A Multi-KPI Benchmark on the CityLearn Environment
by: Khouja, Aymen, et al.
Published: (2026)
by: Khouja, Aymen, et al.
Published: (2026)
Emergent Coordination in Multi-Agent Language Models
by: Riedl, Christoph
Published: (2025)
by: Riedl, Christoph
Published: (2025)
Inductive Bias for Emergent Communication in a Continuous Setting
by: Villanger, John Isak Fjellvang, et al.
Published: (2023)
by: Villanger, John Isak Fjellvang, et al.
Published: (2023)
Multi-Agent Systems Powered by Large Language Models: Applications in Swarm Intelligence
by: Jimenez-Romero, Cristian, et al.
Published: (2025)
by: Jimenez-Romero, Cristian, et al.
Published: (2025)
Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale
by: Anand, Emile, et al.
Published: (2024)
by: Anand, Emile, et al.
Published: (2024)
Simulation-based reinforcement learning for real-world autonomous driving
by: Osiński, Błażej, et al.
Published: (2019)
by: Osiński, Błażej, et al.
Published: (2019)
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
by: Zawalski, Michał, et al.
Published: (2022)
by: Zawalski, Michał, et al.
Published: (2022)
Decentralized Aerial Manipulation of a Cable-Suspended Load using Multi-Agent Reinforcement Learning
by: Zeng, Jack, et al.
Published: (2025)
by: Zeng, Jack, et al.
Published: (2025)
Similar Items
-
Communication Methods in Multi-Agent Reinforcement Learning
by: Wittner, Christoph
Published: (2026) -
Multi-Agent Reinforcement Learning with Selective State-Space Models
by: Daniel, Jemma, et al.
Published: (2024) -
A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
by: Liu, Anjie, et al.
Published: (2025) -
Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games
by: Ghaemi, Hafez, et al.
Published: (2024) -
FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation
by: Jiang, Wenzheng, et al.
Published: (2025)