Cover Image

Latent Poincaré Shaping for Agentic Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xia, Hanchen, Chen, Baoyou, Zang, Zelin, Ge, Yutang, Zhao, Guojiang, Zhu, Siyu
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

T$^\star$: Progressive Block Scaling for Masked Diffusion Language Models Through Trajectory Aware Reinforcement Learning
by: Xia, Hanchen, et al.
Published: (2026)

BARD: Bridging AutoRegressive and Diffusion Vision-Language Models Via Highly Efficient Progressive Block Merging and Stage-Wise Distillation
by: Chen, Baoyou, et al.
Published: (2026)

MolReasoner: Toward Effective and Interpretable Reasoning for Molecular LLMs
by: Zhao, Guojiang, et al.
Published: (2025)

Graph-level Protein Representation Learning by Structure Knowledge Refinement
by: Wang, Ge, et al.
Published: (2024)

Agentic Reinforcement Learning for Real-World Code Repair
by: Zhu, Siyu, et al.
Published: (2025)

MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents
by: Xu, Yifan, et al.
Published: (2025)

RMA: an Agentic System for Research-Level Mathematical Problems
by: Zhao, Zelin, et al.
Published: (2026)

GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching
by: Han, Xiao, et al.
Published: (2024)

Deep Manifold Transformation for Protein Representation Learning
by: Hu, Bozhen, et al.
Published: (2024)

SpecXMaster Technical Report
by: Ge, Yutang, et al.
Published: (2026)

How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability
by: Zhou, Yijin, et al.
Published: (2024)

Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding
by: Hu, Bozhen, et al.
Published: (2024)

CLEANER: Self-Purified Trajectories Boost Agentic Reinforcement Learning
by: Xu, Tianshi, et al.
Published: (2026)

Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning
by: Shen, Junhao, et al.
Published: (2026)

Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
by: Wu, Lirong, et al.
Published: (2024)

Learning a Latent Pulse Shape Interface for Photoinjector Laser Systems
by: Klemps, Alexander, et al.
Published: (2026)

Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning
by: Chen, Xiaocong, et al.
Published: (2024)

The Limits of Transfer Reinforcement Learning with Latent Low-rank Structure
by: Sam, Tyler, et al.
Published: (2024)

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs
by: Zheng, Haizhong, et al.
Published: (2026)

DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving
by: Yang, Pengxuan, et al.
Published: (2026)

Meta-Reinforcement Learning with Self-Reflection for Agentic Search
by: Xiao, Teng, et al.
Published: (2026)

Learning Latent Dynamic Robust Representations for World Models
by: Sun, Ruixiang, et al.
Published: (2024)

Learning Interpretable Features in Audio Latent Spaces via Sparse Autoencoders
by: Paek, Nathan, et al.
Published: (2025)

Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation
by: Wang, Siyu, et al.
Published: (2025)

CARL: Criticality-Aware Agentic Reinforcement Learning
by: Shen, Leyang, et al.
Published: (2025)

A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation
by: Wu, Lirong, et al.
Published: (2024)

OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
by: Yao, Yihang, et al.
Published: (2024)

Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems
by: Wang, Siyu, et al.
Published: (2024)

Random Latent Exploration for Deep Reinforcement Learning
by: Mahankali, Srinath, et al.
Published: (2024)

Latent Spherical Flow Policy for Reinforcement Learning with Combinatorial Actions
by: Kong, Lingkai, et al.
Published: (2026)

From Absolute to Relative: Rethinking Reward Shaping in Group-Based Reinforcement Learning
by: Niu, Wenzhe, et al.
Published: (2026)

Identifying Heterogeneity in Distributed Learning
by: Xiao, Zelin, et al.
Published: (2025)

Sustainable Smart Farm Networks: Enhancing Resilience and Efficiency with Decision Theory-Guided Deep Reinforcement Learning
by: Chen, Dian, et al.
Published: (2025)

Reinforcement Learning for Accelerated Aerodynamic Shape Optimisation
by: Sobieczky, Florian, et al.
Published: (2025)

SimuGen: Multi-modal Agentic Framework for Constructing Block Diagram-Based Simulation Models
by: Ren, Xinxing, et al.
Published: (2025)

SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization
by: Lu, Zhengxi, et al.
Published: (2026)

ReSkill: Reconciling Skill Creation with Policy Optimization in Agentic RL
by: He, Zelin, et al.
Published: (2026)

LatentRAG: Latent Reasoning and Retrieval for Efficient Agentic RAG
by: Zheng, Yijia, et al.
Published: (2026)

Communications-Incentivized Collaborative Reasoning in NetGPT through Agentic Reinforcement Learning
by: Yu, Xiaoxue, et al.
Published: (2026)

Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling
by: Li, Mengran, et al.
Published: (2025)