Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Tang, Wenjie, Li, Minne, Huang, Sijie, Xiao, Liquan, Zhou, Yuan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
StatePlane: A Cognitive State Plane for Long-Horizon AI Systems Under Bounded Context
by: Annapureddy, Sasank, et al.
Published: (2026)
by: Annapureddy, Sasank, et al.
Published: (2026)
Analysing Factorizations of Action-Value Networks for Cooperative Multi-Agent Reinforcement Learning
by: Castellini, Jacopo, et al.
Published: (2019)
by: Castellini, Jacopo, et al.
Published: (2019)
PARNESS: A Paper Harness for End-to-End Automated Scientific Research with Dynamic Workflows, Full-Text Indexing, and Cross-Run Knowledge Accumulation
by: Wang, Yuchen, et al.
Published: (2026)
by: Wang, Yuchen, et al.
Published: (2026)
Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory
by: Jiang, Rongjie, et al.
Published: (2026)
by: Jiang, Rongjie, et al.
Published: (2026)
ME-IGM: Individual-Global-Max in Maximum Entropy Multi-Agent Reinforcement Learning
by: Chen, Wen-Tse, et al.
Published: (2024)
by: Chen, Wen-Tse, et al.
Published: (2024)
Robust and Diverse Multi-Agent Learning via Rational Policy Gradient
by: Lauffer, Niklas, et al.
Published: (2025)
by: Lauffer, Niklas, et al.
Published: (2025)
ChromaFlow: A Negative Ablation Study of Orchestration Overhead in Tool-Augmented Agent Evaluation
by: Mittal, Tarun
Published: (2026)
by: Mittal, Tarun
Published: (2026)
Learning To Help: Training Models to Assist Legacy Devices
by: Wu, Yu, et al.
Published: (2024)
by: Wu, Yu, et al.
Published: (2024)
Instruction-Level Weight Shaping: A Framework for Self-Improving AI Agents
by: Costa, Rimom
Published: (2025)
by: Costa, Rimom
Published: (2025)
One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents
by: Hong, Yoosung
Published: (2026)
by: Hong, Yoosung
Published: (2026)
Difference Rewards Policy Gradients
by: Castellini, Jacopo, et al.
Published: (2020)
by: Castellini, Jacopo, et al.
Published: (2020)
When Actions Disappear: Adversarial Action Removal in Self-Play Reinforcement Learning
by: Kujur, Arahan
Published: (2026)
by: Kujur, Arahan
Published: (2026)
Latent Cache Flow: Model-to-Model Communication Without Text
by: Rossi, Maximillian, et al.
Published: (2026)
by: Rossi, Maximillian, et al.
Published: (2026)
FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing
by: Zhang, Mingda, et al.
Published: (2026)
by: Zhang, Mingda, et al.
Published: (2026)
When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines
by: Maryanskyy, Artem
Published: (2026)
by: Maryanskyy, Artem
Published: (2026)
Safe and Policy-Compliant Multi-Agent Orchestration for Enterprise AI
by: Pasupuleti, Vinil, et al.
Published: (2026)
by: Pasupuleti, Vinil, et al.
Published: (2026)
Extending NGU to Multi-Agent RL: A Preliminary Study
by: Hernandez, Juan, et al.
Published: (2025)
by: Hernandez, Juan, et al.
Published: (2025)
QTypeMix: Enhancing Multi-Agent Cooperative Strategies through Heterogeneous and Homogeneous Value Decomposition
by: Fu, Songchen, et al.
Published: (2024)
by: Fu, Songchen, et al.
Published: (2024)
N-Agent Ad Hoc Teamwork
by: Wang, Caroline, et al.
Published: (2024)
by: Wang, Caroline, et al.
Published: (2024)
Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey
by: Huang, Yunpeng, et al.
Published: (2023)
by: Huang, Yunpeng, et al.
Published: (2023)
A Framework for Assessing AI Agent Decisions and Outcomes in AutoML Pipelines
by: Du, Gaoyuan, et al.
Published: (2026)
by: Du, Gaoyuan, et al.
Published: (2026)
Knowledge Equivalence in Digital Twins of Intelligent Systems
by: Zhang, Nan, et al.
Published: (2022)
by: Zhang, Nan, et al.
Published: (2022)
Differentiable Model Predictive Safety for Heterogeneous Mobility at Urban Intersections
by: Song, Wenzhe, et al.
Published: (2026)
by: Song, Wenzhe, et al.
Published: (2026)
Your Data, My Model: Learning Who Really Helps in Federated Learning
by: Abdurakhmanova, Shamsiiat, et al.
Published: (2024)
by: Abdurakhmanova, Shamsiiat, et al.
Published: (2024)
Dynamic Dual-Granularity Skill Bank for Agentic RL
by: Tu, Songjun, et al.
Published: (2026)
by: Tu, Songjun, et al.
Published: (2026)
Towards General Negotiation Strategies with End-to-End Reinforcement Learning
by: Renting, Bram M., et al.
Published: (2024)
by: Renting, Bram M., et al.
Published: (2024)
How Good is ChatGPT in Giving Adaptive Guidance Using Knowledge Graphs in E-Learning Environments?
by: Ocheja, Patrick, et al.
Published: (2024)
by: Ocheja, Patrick, et al.
Published: (2024)
Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach
by: Peralez, Johan, et al.
Published: (2024)
by: Peralez, Johan, et al.
Published: (2024)
The Stochastic Gap: A Markovian Framework for Pre-Deployment Reliability and Oversight-Cost Auditing in Agentic Artificial Intelligence
by: Pal, Biplab, et al.
Published: (2026)
by: Pal, Biplab, et al.
Published: (2026)
Umwelt Engineering: Designing the Cognitive Worlds of Linguistic Agents
by: Jehu-Appiah, Rodney
Published: (2026)
by: Jehu-Appiah, Rodney
Published: (2026)
Enhancing Heterogeneous Multi-Agent Cooperation in Decentralized MARL via GNN-driven Intrinsic Rewards
by: Monon, Jahir Sadik, et al.
Published: (2024)
by: Monon, Jahir Sadik, et al.
Published: (2024)
PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments
by: Schipper, Olivier, et al.
Published: (2025)
by: Schipper, Olivier, et al.
Published: (2025)
Council Mode: A Heterogeneous Multi-Agent Consensus Framework for Reducing LLM Hallucination and Bias
by: Wu, Shuai, et al.
Published: (2026)
by: Wu, Shuai, et al.
Published: (2026)
FedAttr: Towards Privacy-preserving Client-Level Attribution in Federated LLM Fine-tuning
by: Zhang, Su, et al.
Published: (2026)
by: Zhang, Su, et al.
Published: (2026)
When Can Human-AI Teams Outperform Individuals? Tight Bounds with Impossibility Guarantees
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
Procedural Game Level Design with Deep Reinforcement Learning
by: Özkan, Miraç Buğra
Published: (2025)
by: Özkan, Miraç Buğra
Published: (2025)
Adaptive Latent-Space Constraints in Personalized Federated Learning
by: Ayromlou, Sana, et al.
Published: (2025)
by: Ayromlou, Sana, et al.
Published: (2025)
Fuzzy, Symbolic, and Contextual: Enhancing LLM Instruction via Cognitive Scaffolding
by: Figueiredo, Vanessa
Published: (2025)
by: Figueiredo, Vanessa
Published: (2025)
Towards Resource-Efficient Multimodal Intelligence: Learned Routing among Specialized Expert Models
by: Saini, Mayank, et al.
Published: (2025)
by: Saini, Mayank, et al.
Published: (2025)
On Convex Optimal Value Functions For POSGs
by: Cunha, Rafael F., et al.
Published: (2023)
by: Cunha, Rafael F., et al.
Published: (2023)
Similar Items
-
StatePlane: A Cognitive State Plane for Long-Horizon AI Systems Under Bounded Context
by: Annapureddy, Sasank, et al.
Published: (2026) -
Analysing Factorizations of Action-Value Networks for Cooperative Multi-Agent Reinforcement Learning
by: Castellini, Jacopo, et al.
Published: (2019) -
PARNESS: A Paper Harness for End-to-End Automated Scientific Research with Dynamic Workflows, Full-Text Indexing, and Cross-Run Knowledge Accumulation
by: Wang, Yuchen, et al.
Published: (2026) -
Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory
by: Jiang, Rongjie, et al.
Published: (2026) -
ME-IGM: Individual-Global-Max in Maximum Entropy Multi-Agent Reinforcement Learning
by: Chen, Wen-Tse, et al.
Published: (2024)