RLSR: Reinforcement Learning from Self Reward
Fuente:
arXiv
Saved in:
| Main Authors: | Simonds, Toby, Lopez, Kevin, Yoshiyama, Akira, Garmier, Dominique |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LADDER: Self-Improving LLMs Through Recursive Problem Decomposition
by: Simonds, Toby, et al.
Published: (2025)
by: Simonds, Toby, et al.
Published: (2025)
Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference
by: Simonds, Toby
Published: (2025)
by: Simonds, Toby
Published: (2025)
Provably Efficient Reward Transfer in Reinforcement Learning with Discrete Markov Decision Processes
by: Vora, Kevin, et al.
Published: (2025)
by: Vora, Kevin, et al.
Published: (2025)
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
by: Ma, Haozhe, et al.
Published: (2024)
by: Ma, Haozhe, et al.
Published: (2024)
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
by: Frans, Kevin, et al.
Published: (2024)
by: Frans, Kevin, et al.
Published: (2024)
LLMs for Engineering: Teaching Models to Design High Powered Rockets
by: Simonds, Toby
Published: (2025)
by: Simonds, Toby
Published: (2025)
Masked-and-Reordered Self-Supervision for Reinforcement Learning from Verifiable Rewards
by: Wang, Zhen, et al.
Published: (2025)
by: Wang, Zhen, et al.
Published: (2025)
Reinforcement Learning with Stochastic Reward Machines
by: Corazza, Jan, et al.
Published: (2025)
by: Corazza, Jan, et al.
Published: (2025)
Reinforcement Learning with Exogenous States and Rewards
by: Trimponias, George, et al.
Published: (2023)
by: Trimponias, George, et al.
Published: (2023)
Reinforcement Learning with Symbolic Reward Machines
by: Krug, Thomas, et al.
Published: (2026)
by: Krug, Thomas, et al.
Published: (2026)
Offline Reinforcement Learning with Imputed Rewards
by: Romeo, Carlo, et al.
Published: (2024)
by: Romeo, Carlo, et al.
Published: (2024)
Rewarding the Journey, Not Just the Destination: A Composite Path and Answer Self-Scoring Reward Mechanism for Test-Time Reinforcement Learning
by: Xing, Jingyu, et al.
Published: (2025)
by: Xing, Jingyu, et al.
Published: (2025)
Which Rewards Matter? Reward Selection for Reinforcement Learning under Limited Feedback
by: Chaudhari, Shreyas, et al.
Published: (2025)
by: Chaudhari, Shreyas, et al.
Published: (2025)
Beyond Rewards in Reinforcement Learning for Cyber Defence
by: Bates, Elizabeth, et al.
Published: (2026)
by: Bates, Elizabeth, et al.
Published: (2026)
Efficient Reinforcement Learning in Probabilistic Reward Machines
by: Lin, Xiaofeng, et al.
Published: (2024)
by: Lin, Xiaofeng, et al.
Published: (2024)
Constraints as Rewards: Reinforcement Learning for Robots without Reward Functions
by: Ishihara, Yu, et al.
Published: (2025)
by: Ishihara, Yu, et al.
Published: (2025)
SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine Translation
by: Yang, Wenjie, et al.
Published: (2025)
by: Yang, Wenjie, et al.
Published: (2025)
Self-Rewarding Rubric-Based Reinforcement Learning for Open-Ended Reasoning
by: Ye, Zhiling, et al.
Published: (2025)
by: Ye, Zhiling, et al.
Published: (2025)
LaSeR: Reinforcement Learning with Last-Token Self-Rewarding
by: Yang, Wenkai, et al.
Published: (2025)
by: Yang, Wenkai, et al.
Published: (2025)
Reinforcement Learning: An Overview
by: Murphy, Kevin
Published: (2024)
by: Murphy, Kevin
Published: (2024)
2048: Reinforcement Learning in a Delayed Reward Environment
by: Saligram, Prady, et al.
Published: (2025)
by: Saligram, Prady, et al.
Published: (2025)
Reward Models in Deep Reinforcement Learning: A Survey
by: Yu, Rui, et al.
Published: (2025)
by: Yu, Rui, et al.
Published: (2025)
Adaptive Correlation-Weighted Intrinsic Rewards for Reinforcement Learning
by: Nguyen, Viet Bac, et al.
Published: (2026)
by: Nguyen, Viet Bac, et al.
Published: (2026)
Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards
by: Lu, Xiaodong, et al.
Published: (2026)
by: Lu, Xiaodong, et al.
Published: (2026)
Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective
by: Zhang, Feng, et al.
Published: (2026)
by: Zhang, Feng, et al.
Published: (2026)
Reward-Punishment Reinforcement Learning with Maximum Entropy
by: Wang, Jiexin, et al.
Published: (2024)
by: Wang, Jiexin, et al.
Published: (2024)
Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces
by: Kar, Avik, et al.
Published: (2024)
by: Kar, Avik, et al.
Published: (2024)
Reinforcement Learning with Reward Machines for Sleep Control in Mobile Networks
by: Levina, Kristina, et al.
Published: (2026)
by: Levina, Kristina, et al.
Published: (2026)
Decision-Focused Model-based Reinforcement Learning for Reward Transfer
by: Sharma, Abhishek, et al.
Published: (2023)
by: Sharma, Abhishek, et al.
Published: (2023)
Subgoal-based Reward Shaping to Improve Efficiency in Reinforcement Learning
by: Okudo, Takato, et al.
Published: (2021)
by: Okudo, Takato, et al.
Published: (2021)
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
by: Choi, Heewoong, et al.
Published: (2024)
by: Choi, Heewoong, et al.
Published: (2024)
Extracting Heuristics from Large Language Models for Reward Shaping in Reinforcement Learning
by: Bhambri, Siddhant, et al.
Published: (2024)
by: Bhambri, Siddhant, et al.
Published: (2024)
Learning Rewards, Not Labels: Adversarial Inverse Reinforcement Learning for Machinery Fault Detection
by: Neupane, Dhiraj, et al.
Published: (2026)
by: Neupane, Dhiraj, et al.
Published: (2026)
Pushdown Reward Machines for Reinforcement Learning
by: Varricchione, Giovanni, et al.
Published: (2025)
by: Varricchione, Giovanni, et al.
Published: (2025)
Reinforcement Learning with Conditional Expectation Reward
by: Xiao, Changyi, et al.
Published: (2026)
by: Xiao, Changyi, et al.
Published: (2026)
Demand Acceptance using Reinforcement Learning for Dynamic Vehicle Routing Problem with Emission Quota
by: Najar, Farid, et al.
Published: (2026)
by: Najar, Farid, et al.
Published: (2026)
Similarity as Reward Alignment: Robust and Versatile Preference-based Reinforcement Learning
by: Rajaram, Sara, et al.
Published: (2025)
by: Rajaram, Sara, et al.
Published: (2025)
Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data
by: Kim, Jeonghye, et al.
Published: (2025)
by: Kim, Jeonghye, et al.
Published: (2025)
Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
by: Cai, Xin-Qiang, et al.
Published: (2025)
by: Cai, Xin-Qiang, et al.
Published: (2025)
Shaping Sparse Rewards in Reinforcement Learning: A Semi-supervised Approach
by: Li, Wenyun, et al.
Published: (2025)
by: Li, Wenyun, et al.
Published: (2025)
Similar Items
-
LADDER: Self-Improving LLMs Through Recursive Problem Decomposition
by: Simonds, Toby, et al.
Published: (2025) -
Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference
by: Simonds, Toby
Published: (2025) -
Provably Efficient Reward Transfer in Reinforcement Learning with Discrete Markov Decision Processes
by: Vora, Kevin, et al.
Published: (2025) -
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
by: Ma, Haozhe, et al.
Published: (2024) -
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
by: Frans, Kevin, et al.
Published: (2024)