ANO: A Principled Approach to Robust Policy Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Yiheng, Wang, Yiming, Zhao, Kaiyan, Wan, Zhenglin, Chen, Jiayu, U, Leong Hou |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Anon: Extrapolating Adaptivity Beyond SGD and Adam
by: Zhang, Yiheng, et al.
Published: (2026)
by: Zhang, Yiheng, et al.
Published: (2026)
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning
by: Zhao, Kaiyan, et al.
Published: (2024)
by: Zhao, Kaiyan, et al.
Published: (2024)
VecCity: A Taxonomy-guided Library for Map Entity Representation Learning
by: Zhang, Wentao, et al.
Published: (2024)
by: Zhang, Wentao, et al.
Published: (2024)
Enhancing LLM Agents for Code Generation with Possibility and Pass-rate Prioritized Experience Replay
by: Chen, Yuyang, et al.
Published: (2024)
by: Chen, Yuyang, et al.
Published: (2024)
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning
by: Chen, Jiayu, et al.
Published: (2025)
by: Chen, Jiayu, et al.
Published: (2025)
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
by: Zhao, Puning, et al.
Published: (2023)
by: Zhao, Puning, et al.
Published: (2023)
High-order Knowledge Based Network Controllability Robustness Prediction: A Hypergraph Neural Network Approach
by: Mo, Shibing, et al.
Published: (2026)
by: Mo, Shibing, et al.
Published: (2026)
Transferable Reinforcement Learning via Probabilistic Latent Embeddings and Dynamic Policy Adaptation for Sim-to-Real Deployment
by: Han, Gengyue, et al.
Published: (2026)
by: Han, Gengyue, et al.
Published: (2026)
Breaking the Curse of Repulsion: Optimistic Distributionally Robust Policy Optimization for Off-Policy Generative Recommendation
by: Jiang, Jie, et al.
Published: (2026)
by: Jiang, Jie, et al.
Published: (2026)
Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity
by: Wan, Zhenglin, et al.
Published: (2024)
by: Wan, Zhenglin, et al.
Published: (2024)
Reinforcing Language Agents via Policy Optimization with Action Decomposition
by: Wen, Muning, et al.
Published: (2024)
by: Wen, Muning, et al.
Published: (2024)
Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization
by: Xu, Le, et al.
Published: (2025)
by: Xu, Le, et al.
Published: (2025)
On Symmetric Losses for Robust Policy Optimization with Noisy Preferences
by: Nishimori, Soichiro, et al.
Published: (2025)
by: Nishimori, Soichiro, et al.
Published: (2025)
DGPO: Distribution Guided Policy Optimization for Fine Grained Credit Assignment
by: Jin, Hongbo, et al.
Published: (2026)
by: Jin, Hongbo, et al.
Published: (2026)
Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment
by: Trivedi, Prashant, et al.
Published: (2025)
by: Trivedi, Prashant, et al.
Published: (2025)
Beyond Noisy-TVs: Noise-Robust Exploration Via Learning Progress Monitoring
by: Hou, Zhibo, et al.
Published: (2025)
by: Hou, Zhibo, et al.
Published: (2025)
ODRPO: Ordinal Decompositions of Discrete Rewards for Robust Policy Optimization
by: Patel, Nirmal, et al.
Published: (2026)
by: Patel, Nirmal, et al.
Published: (2026)
ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability
by: Zhu, Zhiyu, et al.
Published: (2025)
by: Zhu, Zhiyu, et al.
Published: (2025)
Hybrid Group Relative Policy Optimization: A Multi-Sample Approach to Enhancing Policy Optimization
by: Sane, Soham
Published: (2025)
by: Sane, Soham
Published: (2025)
Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency
by: Chen, Rongqin, et al.
Published: (2025)
by: Chen, Rongqin, et al.
Published: (2025)
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
by: Guo, Yongxin, et al.
Published: (2024)
by: Guo, Yongxin, et al.
Published: (2024)
Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization
by: Zhan, Simon Sinong, et al.
Published: (2025)
by: Zhan, Simon Sinong, et al.
Published: (2025)
Divergence-Augmented Policy Optimization
by: Wang, Qing, et al.
Published: (2025)
by: Wang, Qing, et al.
Published: (2025)
Orthogonalized Policy Optimization:Policy Optimization as Orthogonal Projection in Hilbert Space
by: Zixian, Wang
Published: (2026)
by: Zixian, Wang
Published: (2026)
Relative Policy-Transition Optimization for Fast Policy Transfer
by: Xu, Jiawei, et al.
Published: (2022)
by: Xu, Jiawei, et al.
Published: (2022)
Absolute Policy Optimization
by: Zhao, Weiye, et al.
Published: (2023)
by: Zhao, Weiye, et al.
Published: (2023)
Provable and Practical In-Context Policy Optimization for Self-Improvement
by: Yu, Tianrun, et al.
Published: (2026)
by: Yu, Tianrun, et al.
Published: (2026)
Pretrain Value, Not Reward: Decoupled Value Policy Optimization
by: Huang, Chenghua, et al.
Published: (2025)
by: Huang, Chenghua, et al.
Published: (2025)
Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging
by: Zhang, Haobo, et al.
Published: (2025)
by: Zhang, Haobo, et al.
Published: (2025)
HVAdam: A Full-Dimension Adaptive Optimizer
by: Zhang, Yiheng, et al.
Published: (2025)
by: Zhang, Yiheng, et al.
Published: (2025)
Variational Delayed Policy Optimization
by: Wu, Qingyuan, et al.
Published: (2024)
by: Wu, Qingyuan, et al.
Published: (2024)
AgentOCR: Reimagining Agent History via Optical Self-Compression
by: Feng, Lang, et al.
Published: (2026)
by: Feng, Lang, et al.
Published: (2026)
Group Orthogonalized Policy Optimization:Group Policy Optimization as Orthogonal Projection in Hilbert Space
by: Zixian, Wang
Published: (2026)
by: Zixian, Wang
Published: (2026)
Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation
by: Zhan, Guojian, et al.
Published: (2026)
by: Zhan, Guojian, et al.
Published: (2026)
Agentic Policy Optimization via Instruction-Policy Co-Evolution
by: Zhou, Han, et al.
Published: (2025)
by: Zhou, Han, et al.
Published: (2025)
RiskPO: Risk-based Policy Optimization via Verifiable Reward for LLM Post-Training
by: Ren, Tao, et al.
Published: (2025)
by: Ren, Tao, et al.
Published: (2025)
On-Policy Optimization of ANFIS Policies Using Proximal Policy Optimization
by: Shankar, Kaaustaaub, et al.
Published: (2025)
by: Shankar, Kaaustaaub, et al.
Published: (2025)
The Paradox of Outcome Optimization: A Causal Information-Theoretic Bound on Reasoning Shortcuts in LLMs
by: Chen, Zihan, et al.
Published: (2026)
by: Chen, Zihan, et al.
Published: (2026)
PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning
by: Feng, Wenfeng, et al.
Published: (2025)
by: Feng, Wenfeng, et al.
Published: (2025)
IIB-LPO: Latent Policy Optimization via Iterative Information Bottleneck
by: Deng, Huilin, et al.
Published: (2026)
by: Deng, Huilin, et al.
Published: (2026)
Similar Items
-
Anon: Extrapolating Adaptivity Beyond SGD and Adam
by: Zhang, Yiheng, et al.
Published: (2026) -
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning
by: Zhao, Kaiyan, et al.
Published: (2024) -
VecCity: A Taxonomy-guided Library for Map Entity Representation Learning
by: Zhang, Wentao, et al.
Published: (2024) -
Enhancing LLM Agents for Code Generation with Possibility and Pass-rate Prioritized Experience Replay
by: Chen, Yuyang, et al.
Published: (2024) -
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning
by: Chen, Jiayu, et al.
Published: (2025)