Copertina

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Shixuan, Feng, Yanghe, Wu, Keyu, Cheng, Guangquan, Huang, Jincai, Liu, Zhong
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Trust-Region Adaptive Policy Optimization
di: Su, Mingyu, et al.
Pubblicazione: (2025)

Flow-based Policy With Distributional Reinforcement Learning in Trajectory Optimization
di: Hao, Ruijie, et al.
Pubblicazione: (2026)

Trust Regions Sell, But Who's Buying? Overlap Geometry as an Alternative Trust Region for Policy Optimization
di: Trivedi, Gaurish, et al.
Pubblicazione: (2026)

Matrix Low-Rank Trust Region Policy Optimization
di: Rozada, Sergio, et al.
Pubblicazione: (2024)

It's Not You, It's Clipping: A Soft Trust-Region via Probability Smoothing for LLM RL
di: Dwyer, Madeleine, et al.
Pubblicazione: (2025)

DCPO: Dynamic Clipping Policy Optimization
di: Yang, Shihui, et al.
Pubblicazione: (2025)

Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization
di: Su, Zhenpeng, et al.
Pubblicazione: (2025)

BandPO: Bridging Trust Regions and Ratio Clipping via Probability-Aware Bounds for LLM Reinforcement Learning
di: Li, Yuan, et al.
Pubblicazione: (2026)

BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
di: Xi, Zhiheng, et al.
Pubblicazione: (2025)

PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping
di: Huang, Nai-Chieh, et al.
Pubblicazione: (2023)

Trust-Region Behavior Blending for On-Policy Distillation
di: Plyusov, Daniil, et al.
Pubblicazione: (2026)

Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm
di: Chen, Yang, et al.
Pubblicazione: (2025)

LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization
di: Wang, Boxiao, et al.
Pubblicazione: (2026)

SEARL: Joint Optimization of Policy and Tool Graph Memory for Self-Evolving Agents
di: Feng, Xinshun, et al.
Pubblicazione: (2026)

TrasMuon: Trust-Region Adaptive Scaling for Orthogonalized Momentum Optimizers
di: Cheng, Peng, et al.
Pubblicazione: (2026)

Group Sequence Policy Optimization
di: Zheng, Chujie, et al.
Pubblicazione: (2025)

Soft Adaptive Policy Optimization
di: Gao, Chang, et al.
Pubblicazione: (2025)

PPO-BR: Dual-Signal Entropy-Reward Adaptation for Trust Region Policy Optimization
di: Rahman, Ben
Pubblicazione: (2025)

CasualSynth: Generating Structurally Sound Synthetic Data
di: Cheng, Zehua, et al.
Pubblicazione: (2026)

Diffusion Policies creating a Trust Region for Offline Reinforcement Learning
di: Chen, Tianyu, et al.
Pubblicazione: (2024)

Reparameterization Proximal Policy Optimization
di: Zhong, Hai, et al.
Pubblicazione: (2025)

Reparameterization Flow Policy Optimization
di: Zhong, Hai, et al.
Pubblicazione: (2026)

Trust the Batch, On- or Off-Policy: Adaptive Policy Optimization for RL Post-Training
di: Fakoor, Rasool, et al.
Pubblicazione: (2026)

A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points
di: Liu, Zihe, et al.
Pubblicazione: (2024)

HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization
di: Zhao, Huaqin, et al.
Pubblicazione: (2024)

Stable Reinforcement Learning for Efficient Reasoning
di: Dai, Muzhi, et al.
Pubblicazione: (2025)

Group-in-Group Policy Optimization for LLM Agent Training
di: Feng, Lang, et al.
Pubblicazione: (2025)

Exploiting Meta-Learning-based Poisoning Attacks for Graph Link Prediction
di: Li, Mingchen, et al.
Pubblicazione: (2025)

Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery
di: Olko, Mateusz, et al.
Pubblicazione: (2022)

Hierarchy-of-Groups Policy Optimization for Long-Horizon Agentic Tasks
di: He, Shuo, et al.
Pubblicazione: (2026)

CROP: Conservative Reward for Model-based Offline Policy Optimization
di: Li, Hao, et al.
Pubblicazione: (2023)

Graph Diffusion Policy Optimization
di: Liu, Yijing, et al.
Pubblicazione: (2024)

ESPO: Entropy Importance Sampling Policy Optimization
di: Sheng, Yuepeng, et al.
Pubblicazione: (2025)

Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks
di: Li, Jinhao, et al.
Pubblicazione: (2026)

CacheClip: Accelerating RAG with Effective KV Cache Reuse
di: Yang, Bin, et al.
Pubblicazione: (2025)

Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery
di: Liu, Jin, et al.
Pubblicazione: (2023)

Generalized Incremental Learning under Concept Drift across Evolving Data Streams
di: Yu, En, et al.
Pubblicazione: (2025)

Trust Region Masking for Long-Horizon LLM Reinforcement Learning
di: Li, Yingru, et al.
Pubblicazione: (2025)

Trust Region Inverse Reinforcement Learning: Explicit Dual Ascent using Local Policy Updates
di: Diwan, Anish, et al.
Pubblicazione: (2026)

Decision Flow Policy Optimization
di: Hu, Jifeng, et al.
Pubblicazione: (2025)