New #J2C Certification:

POPE: Learning to Reason on Hard Problems via Privileged On-Policy Exploration

Yuxiao Qu, Amrith Setlur, Virginia Smith, Ruslan Salakhutdinov, Aviral Kumar

https://openreview.net/forum?id=pbyIoUW7YV

#reinforcement #exploration #challenging

New #TMLR-Paper-with-Video:

Divide and Conquer: Selective Value Learning and Policy Optimization for Offline Safe Reinforcement ...

Jiahui Zhu, Lei Ying, Honghao Wei

https://tmlr.infinite-conf.org/paper_pages/4KYrv6qYMl

#reinforcement #learns #reward

Reinforcement Learning for Symbolic Equation Solving

Kevin O'Keeffe

Action editor: Wei Huang

https://openreview.net/forum?id=JlC5BJiikD

#reinforcement #learns #symbolic

New #TMLR-Paper-with-Video:

Reward Engineering for Spatial Epidemic Simulations: A Reinforcement Learning Platform for Individua...

Radman Rakhshandehroo, Daniel Coombs

https://tmlr.infinite-conf.org/paper_pages/yPEASsx3hk

#reinforcement #reward #epidemic

Don't Forget the Critic: Value-Based Data Rehearsal for Multi-Cyclic Continual Reinforcement Lear...

Benjamin Poole, Andrew Quinn, Li Yang, Minwoo Lee

Action editor: Michele Caprio

https://openreview.net/forum?id=wYayhflqqR

#forgetting #reinforcement #qreg

Offline Meta-Reinforcement Learning in Piecewise Stationary Environments

Mohammadreza Nakhaeinezhad, Aidan Scannell, Joni Pajarinen

Action editor: Dennis Soemers

https://openreview.net/forum?id=gp1mAySr25

#reinforcement #adaptive #exploration

New #TMLR-Paper-with-Video:

Provably Efficient Reward Transfer in Reinforcement Learning with Discrete Markov Decision Processes

Kevin Jatin Vora, Yu Zhang

https://tmlr.infinite-conf.org/paper_pages/u2b31c9Noe

#reinforcement #reward #learning

New #TMLR-Paper-with-Video:

A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation

Xinjie Liu, Cyrus Neary, Kushagra Gupta et al.

https://tmlr.infinite-conf.org/paper_pages/zAo0L7Dcqt

#reinforcement #reinforce #trained

A Hierarchical Geometric Observation Interface for Spatial Planning in Reinforcement Learning

Andres R. Zapata Rodriguez, Hongpeng Cao, Raphael Trumpp, Marco Caccamo

Action editor: William Redman

https://openreview.net/forum?id=U10DFNcMrW

#planning #reinforcement #navigation

Cross-Domain Offline Policy Adaptation via Selective Transition Correction

Mengbei Yan, Jiafei Lyu, Shengjie Sun et al.

Action editor: Wilka Carvalho

https://openreview.net/forum?id=TupiNRpgHw

#reinforcement #adaptation #rewards

"Does this CNOT spark joy? Teaching an RL agent to tidy quantum circuits ✨" by João Galego

#amazon-braket #reinforcement-learning

A new JAX-based benchmark, PowerZooJax, offers GPU-resident reinforcement learning evaluation for five constrained power system tasks, spanning generation through data center microgrids. It rewrites core power operations as…

#cybersecurity #AI #reinforcement #power
https://arxiv.org/abs/2609.36052

ACRL: Adaptive Control of Training-Inference Discrepancy for Stable Reinforcement Learning

Wenwu Fan, Zhijie Xia, Qihong Lin, Zhuo Zheng, Sihao Wang, QiangChen, Liangsheng Zhu

Action editor: Shangtong Zhang

https://openreview.net/forum?id=8sBZSgAkAH

#adaptive #adaptively #reinforcement

World Model Anomaly Detection with a Latent Linear Prior

Zarif Ikram, Harry Zhao, Ling Pan, Alex Lamb, Dianbo Liu

Action editor: Li Li

https://openreview.net/forum?id=VLIzLK3CfR

#learns #reinforcement #agents

Enhance the Safety in Reinforcement Learning by ADRC Lagrangian Methods

Mingxu Zhang, Huicheng Zhang, Jiaming Ji, Yaodong Yang, Ying Sun

Action editor: Steffen Udluft

https://openreview.net/forum?id=3IbuT8uzYS

#lagrangian #reinforcement #robustness

Influencing Humans to Conform to Preference Models for RLHF

Stephane Hatgis-Kessell, W. Bradley Knox, Serena Booth, Peter Stone

Action editor: Zheng Wen

https://openreview.net/forum?id=7YPlw1nUmW

#reinforcement #reward #preference

Analysis of Natural Actor-Critic with Randomized Low- Discrepancy Sampling

Ajin George Joseph, shikher chhawchharia

Action editor: Murat Erdogdu

https://openreview.net/forum?id=kOSx9v6dfb

#critic #conditioning #reinforcement

Dynamic Reward Incentives for Emergent Cooperation under Changing Rewards

Philipp Altmann, Maximilian Zorn, Sven Koenig, Thomy Phan

Action editor: Youngchul Sung

https://openreview.net/forum?id=9Ltu1HV2YI

#reward #reinforcement #rewards

New #Survey Certification:

Review of Reinforcement Learning for Large Language Models: Formulations, Algorithms, and Opportu...

Ziniu Li, Pengyuan Wang, Tian Xu, Tian Ding, Ruoyu Sun, Yang Yu

https://openreview.net/forum?id=ghQQNjSxJc

#reinforcement #supervised #language