Saved in:
| Main Authors: | Bo, Gabriel, Chang, Koa, Gu, Justin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.11371 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Prompting Policies for Multi-step Reasoning and Tool-Use in Black-box LLMs with Iterative Distillation of Experience
by: Sayana, Krishna, et al.
Published: (2026)
by: Sayana, Krishna, et al.
Published: (2026)
SocialDriveGen: Generating Diverse Traffic Scenarios with Controllable Social Interactions
by: Tian, Jiaguo, et al.
Published: (2025)
by: Tian, Jiaguo, et al.
Published: (2025)
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices
by: Woo, Jiin, et al.
Published: (2024)
by: Woo, Jiin, et al.
Published: (2024)
Multi-Agent Path Finding via Offline RL and LLM Collaboration
by: Atasever, Merve, et al.
Published: (2025)
by: Atasever, Merve, et al.
Published: (2025)
Complex Instruction Following with Diverse Style Policies in Football Games
by: Sun, Chenglu, et al.
Published: (2025)
by: Sun, Chenglu, et al.
Published: (2025)
Meta-Offline and Distributional Multi-Agent RL for Risk-Aware Decision-Making
by: Eldeeb, Eslam, et al.
Published: (2025)
by: Eldeeb, Eslam, et al.
Published: (2025)
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing
by: Amico, Jeffrey, et al.
Published: (2025)
by: Amico, Jeffrey, et al.
Published: (2025)
O-MAPL: Offline Multi-agent Preference Learning
by: Bui, The Viet, et al.
Published: (2025)
by: Bui, The Viet, et al.
Published: (2025)
Scalable Offline Reinforcement Learning for Mean Field Games
by: Brunnbauer, Axel, et al.
Published: (2024)
by: Brunnbauer, Axel, et al.
Published: (2024)
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning
by: Eldeeb, Eslam, et al.
Published: (2024)
by: Eldeeb, Eslam, et al.
Published: (2024)
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints
by: Lin, Jiabin, et al.
Published: (2024)
by: Lin, Jiabin, et al.
Published: (2024)
UAV-Assisted Multi-Task Federated Learning with Task Knowledge Sharing
by: Yang, Yubo, et al.
Published: (2025)
by: Yang, Yubo, et al.
Published: (2025)
MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment
by: Wang, Ziyan, et al.
Published: (2023)
by: Wang, Ziyan, et al.
Published: (2023)
Offline Multi-agent Reinforcement Learning via Sequential Score Decomposition
by: Qiao, Dan, et al.
Published: (2025)
by: Qiao, Dan, et al.
Published: (2025)
An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management
by: Eldeeb, Eslam, et al.
Published: (2025)
by: Eldeeb, Eslam, et al.
Published: (2025)
AbideGym: Turning Static RL Worlds into Adaptive Challenges
by: Aryan, Abi, et al.
Published: (2025)
by: Aryan, Abi, et al.
Published: (2025)
Self-Confirming Transformer for Belief-Conditioned Adaptation in Offline Multi-Agent Reinforcement Learning
by: Li, Tao, et al.
Published: (2023)
by: Li, Tao, et al.
Published: (2023)
Socratic RL: A Novel Framework for Efficient Knowledge Acquisition through Iterative Reflection and Viewpoint Distillation
by: Wu, Xiangfan
Published: (2025)
by: Wu, Xiangfan
Published: (2025)
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization
by: Bui, The Viet, et al.
Published: (2024)
by: Bui, The Viet, et al.
Published: (2024)
Can We Enhance the Quality of Mobile Crowdsensing Data Without Ground Truth?
by: Li, Jiajie, et al.
Published: (2024)
by: Li, Jiajie, et al.
Published: (2024)
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming
by: Angelotti, Giorgio, et al.
Published: (2024)
by: Angelotti, Giorgio, et al.
Published: (2024)
Coordination Failure in Cooperative Offline MARL
by: Tilbury, Callum Rhys, et al.
Published: (2024)
by: Tilbury, Callum Rhys, et al.
Published: (2024)
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters
by: Lavington, Jonathan Wilder, et al.
Published: (2024)
by: Lavington, Jonathan Wilder, et al.
Published: (2024)
Learning Emergence of Interaction Patterns across Independent RL Agents in Multi-Agent Environments
by: Baddam, Vasanth Reddy, et al.
Published: (2024)
by: Baddam, Vasanth Reddy, et al.
Published: (2024)
Learning Partial Action Replacement in Offline MARL
by: Jin, Yue, et al.
Published: (2026)
by: Jin, Yue, et al.
Published: (2026)
RouteRL: Multi-agent reinforcement learning framework for urban route choice with autonomous vehicles
by: Akman, Ahmet Onur, et al.
Published: (2025)
by: Akman, Ahmet Onur, et al.
Published: (2025)
Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making
by: Andelfinger, Philipp, et al.
Published: (2024)
by: Andelfinger, Philipp, et al.
Published: (2024)
Event-Driven Temporal Graph Networks for Asynchronous Multi-Agent Cyber Defense in NetForge_RL
by: Jankowski, Igor
Published: (2026)
by: Jankowski, Igor
Published: (2026)
Offline and Distributional Reinforcement Learning for Radio Resource Management
by: Eldeeb, Eslam, et al.
Published: (2024)
by: Eldeeb, Eslam, et al.
Published: (2024)
MAexp: A Generic Platform for RL-based Multi-Agent Exploration
by: Zhu, Shaohao, et al.
Published: (2024)
by: Zhu, Shaohao, et al.
Published: (2024)
MAGIC: Multi-Step Advantage-Gated Causal Influence for Multi-agent Reinforcement Learning
by: Yu, Haohan, et al.
Published: (2026)
by: Yu, Haohan, et al.
Published: (2026)
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
by: Li, Zhuofeng, et al.
Published: (2025)
by: Li, Zhuofeng, et al.
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)
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2024)
by: Formanek, Claude, et al.
Published: (2024)
Partial Action Replacement: Tackling Distribution Shift in Offline MARL
by: Jin, Yue, et al.
Published: (2025)
by: Jin, Yue, et al.
Published: (2025)
Trajectory Supervision for Continual Tool-Use Learning in LLMs
by: Reddy, Vishnu Vardhan, et al.
Published: (2026)
by: Reddy, Vishnu Vardhan, et al.
Published: (2026)
Optimistic Multi-Agent Policy Gradient
by: Zhao, Wenshuai, et al.
Published: (2023)
by: Zhao, Wenshuai, et al.
Published: (2023)
A Large Language Model for Feasible and Diverse Population Synthesis
by: Lim, Sung Yoo, et al.
Published: (2025)
by: Lim, Sung Yoo, et al.
Published: (2025)
Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning
by: Büchi, Hannes, et al.
Published: (2026)
by: Büchi, Hannes, et al.
Published: (2026)
Offline and Distributional Reinforcement Learning for Wireless Communications
by: Eldeeb, Eslam, et al.
Published: (2025)
by: Eldeeb, Eslam, et al.
Published: (2025)
Similar Items
-
Prompting Policies for Multi-step Reasoning and Tool-Use in Black-box LLMs with Iterative Distillation of Experience
by: Sayana, Krishna, et al.
Published: (2026) -
SocialDriveGen: Generating Diverse Traffic Scenarios with Controllable Social Interactions
by: Tian, Jiaguo, et al.
Published: (2025) -
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices
by: Woo, Jiin, et al.
Published: (2024) -
Multi-Agent Path Finding via Offline RL and LLM Collaboration
by: Atasever, Merve, et al.
Published: (2025) -
Complex Instruction Following with Diverse Style Policies in Football Games
by: Sun, Chenglu, et al.
Published: (2025)