ODRPO: Ordinal Decompositions of Discrete Rewards for Robust Policy Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Patel, Nirmal, Wang, Fei, Dhillon, Inderjit S. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Geometric Median (GM) Matching for Robust Data Pruning
by: Acharya, Anish, et al.
Published: (2024)
by: Acharya, Anish, et al.
Published: (2024)
LUCID: Attention with Preconditioned Representations
by: Duvvuri, Sai Surya, et al.
Published: (2026)
by: Duvvuri, Sai Surya, et al.
Published: (2026)
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
by: Yen, Jui-Nan, et al.
Published: (2024)
by: Yen, Jui-Nan, et al.
Published: (2024)
Intrinsic Reward Policy Optimization for Sparse-Reward Environments
by: Cho, Minjae, et al.
Published: (2026)
by: Cho, Minjae, et al.
Published: (2026)
Reward Modeling with Ordinal Feedback: Wisdom of the Crowd
by: Liu, Shang, et al.
Published: (2024)
by: Liu, Shang, et al.
Published: (2024)
Positive Unlabeled Contrastive Learning
by: Acharya, Anish, et al.
Published: (2022)
by: Acharya, Anish, et al.
Published: (2022)
Beyond Binary Preferences: A Principled Framework for Reward Modeling with Ordinal Feedback
by: Afsharrad, Amirhossein, et al.
Published: (2026)
by: Afsharrad, Amirhossein, 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)
GOPO: Policy Optimization using Ranked Rewards
by: Choi, Kyuseong, et al.
Published: (2026)
by: Choi, Kyuseong, et al.
Published: (2026)
Reinforcing Language Agents via Policy Optimization with Action Decomposition
by: Wen, Muning, et al.
Published: (2024)
by: Wen, Muning, et al.
Published: (2024)
ReDit: Reward Dithering for Improved LLM Policy Optimization
by: Wei, Chenxing, et al.
Published: (2025)
by: Wei, Chenxing, et al.
Published: (2025)
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
by: Wang, Chenyu, et al.
Published: (2024)
by: Wang, Chenyu, et al.
Published: (2024)
Value-Free Policy Optimization via Reward Partitioning
by: Faye, Bilal, et al.
Published: (2025)
by: Faye, Bilal, et al.
Published: (2025)
CROP: Conservative Reward for Model-based Offline Policy Optimization
by: Li, Hao, et al.
Published: (2023)
by: Li, Hao, et al.
Published: (2023)
DRPO: Efficient Reasoning via Decoupled Reward Policy Optimization
by: Li, Gang, et al.
Published: (2025)
by: Li, Gang, et al.
Published: (2025)
Overcoming Reward Overoptimization via Adversarial Policy Optimization with Lightweight Uncertainty Estimation
by: Zhang, Xiaoying, et al.
Published: (2024)
by: Zhang, Xiaoying, et al.
Published: (2024)
ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization
by: Zhang, Chen Bo Calvin, et al.
Published: (2024)
by: Zhang, Chen Bo Calvin, et al.
Published: (2024)
The Art of Scaling Reinforcement Learning Compute for LLMs
by: Khatri, Devvrit, et al.
Published: (2025)
by: Khatri, Devvrit, et al.
Published: (2025)
Fine-Tuning Language Models with Reward Learning on Policy
by: Lang, Hao, et al.
Published: (2024)
by: Lang, Hao, et al.
Published: (2024)
Integrating Policy Summaries with Reward Decomposition for Explaining Reinforcement Learning Agents
by: Septon, Yael, et al.
Published: (2022)
by: Septon, Yael, et al.
Published: (2022)
ANO: A Principled Approach to Robust Policy Optimization
by: Zhang, Yiheng, et al.
Published: (2026)
by: Zhang, Yiheng, et al.
Published: (2026)
Unimodal Distributions for Ordinal Regression
by: Cardoso, Jaime S., et al.
Published: (2023)
by: Cardoso, Jaime S., et al.
Published: (2023)
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)
HPO: Hysteretic Policy Optimization for Stable and Efficient Training under Sparse-Reward Regime
by: Sana, Mohamed, et al.
Published: (2026)
by: Sana, Mohamed, et al.
Published: (2026)
Learning Scenario Reduction for Two-Stage Robust Optimization with Discrete Uncertainty
by: Lin, Tianjue, et al.
Published: (2026)
by: Lin, Tianjue, 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)
Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm
by: Chen, Yang, et al.
Published: (2025)
by: Chen, Yang, et al.
Published: (2025)
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
by: Deng, Fei, et al.
Published: (2024)
by: Deng, Fei, et al.
Published: (2024)
Emotions as Ambiguity-aware Ordinal Representations
by: Wu, Jingyao, et al.
Published: (2025)
by: Wu, Jingyao, et al.
Published: (2025)
Matryoshka Model Learning for Improved Elastic Student Models
by: Verma, Chetan, et al.
Published: (2025)
by: Verma, Chetan, et al.
Published: (2025)
Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards
by: Ahmad, Ahmad, et al.
Published: (2024)
by: Ahmad, Ahmad, et al.
Published: (2024)
On Symmetric Losses for Robust Policy Optimization with Noisy Preferences
by: Nishimori, Soichiro, et al.
Published: (2025)
by: Nishimori, Soichiro, et al.
Published: (2025)
Hindsight-Anchored Policy Optimization: Turning Failure into Feedback in Sparse Reward Settings
by: Wu, Yuning, et al.
Published: (2026)
by: Wu, Yuning, et al.
Published: (2026)
Understanding Contrastive Representation Learning from Positive Unlabeled (PU) Data
by: Acharya, Anish, et al.
Published: (2024)
by: Acharya, Anish, 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)
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
by: Park, Taewon, et al.
Published: (2024)
by: Park, Taewon, et al.
Published: (2024)
Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation
by: Patel, Bhrij, et al.
Published: (2023)
by: Patel, Bhrij, et al.
Published: (2023)
WARP: On the Benefits of Weight Averaged Rewarded Policies
by: Ramé, Alexandre, et al.
Published: (2024)
by: Ramé, Alexandre, et al.
Published: (2024)
Orthogonalized Policy Optimization:Policy Optimization as Orthogonal Projection in Hilbert Space
by: Zixian, Wang
Published: (2026)
by: Zixian, Wang
Published: (2026)
Ranking-aware Reinforcement Learning for Ordinal Ranking
by: Hao, Aiming, et al.
Published: (2026)
by: Hao, Aiming, et al.
Published: (2026)
Similar Items
-
Geometric Median (GM) Matching for Robust Data Pruning
by: Acharya, Anish, et al.
Published: (2024) -
LUCID: Attention with Preconditioned Representations
by: Duvvuri, Sai Surya, et al.
Published: (2026) -
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
by: Yen, Jui-Nan, et al.
Published: (2024) -
Intrinsic Reward Policy Optimization for Sparse-Reward Environments
by: Cho, Minjae, et al.
Published: (2026) -
Reward Modeling with Ordinal Feedback: Wisdom of the Crowd
by: Liu, Shang, et al.
Published: (2024)