"reinforcement learning" Papers

AlphaZero Neural Scaling and Zipf's Law: a Tale of Board Games and Power Laws

Oren Neumann, Claudius Gros

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning

Haoran Xu, Shuozhe Li, Harshit Sikchi et al.

Continual Knowledge Adaptation for Reinforcement Learning

Jinwu Hu, ZiHao Lian, Zhiquan Wen et al.

GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining

Chunyu Wei, Wenji Hu, Xingjia Hao et al.

GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training

Tong Wei, Yijun Yang, Junliang Xing et al.

Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

Michael Matthews, Michael Beukman, Chris Lu et al.

Meta-learning how to Share Credit among Macro-Actions

Ionel-Alexandru Hosu, Traian Rebedea, Razvan Pascanu

MiCo: Multi-image Contrast for Reinforcement Visual Reasoning

Xi Chen, Mingkang Zhu, Shaoteng Liu et al.

Multi-Agent Collaboration via Evolving Orchestration

Yufan Dang, Chen Qian, Xueheng Luo et al.

On the Convergence of Projected Policy Gradient for Any Constant Step Sizes

Jiacai Liu, Wenye Li, Dachao Lin et al.

OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning

Alexandre Oliveira, Katarina Dyreby, Francisco Caldas et al.

Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing

Yilmazcan Ozyurt, Tunaberk Almaci, Stefan Feuerriegel et al.

Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control

Zijie Xu, Tong Bu, Zecheng Hao et al.

Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)

Zhenjie Yang, Xiaosong Jia, Qifeng Li et al.

Reasoning as an Adaptive Defense for Safety

Taeyoun Kim, Fahim Tajwar, Aditi Raghunathan et al.

Reinforcement learning with combinatorial actions for coupled restless bandits

Lily Xu, Bryan Wilder, Elias Khalil et al.

Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models

Zemin Huang, Zhiyang Chen, Zijun Wang et al.

RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation

Tianyi Yan, Wencheng Han, xia zhou et al.

Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning

Tian-Shuo Liu, Xu-Hui Liu, Ruifeng Chen et al.

SeRL: Self-play Reinforcement Learning for Large Language Models with Limited Data

Wenkai Fang, Shunyu Liu, Yang Zhou et al.

Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning

Hung Le, Dung Nguyen, Kien Do et al.

The Promise of RL for Autoregressive Image Editing

Saba Ahmadi, Rabiul Awal, Ankur Sikarwar et al.

The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning

Xinyu Zhu, Mengzhou Xia, Zhepei Wei et al.

Unlocking Multimodal Mathematical Reasoning via Process Reward Model

Ruilin Luo, Zhuofan Zheng, Lei Wang et al.

VideoChat-R1.5: Visual Test-Time Scaling to Reinforce Multimodal Reasoning by Iterative Perception

Ziang Yan, Yinan He, Xinhao Li et al.

WebDancer: Towards Autonomous Information Seeking Agency

Jialong Wu, Baixuan Li, Runnan Fang et al.

Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning

Yen-Ju Chen, Nai-Chieh Huang, Ching-pei Lee et al.

Activation-Descent Regularization for Input Optimization of ReLU Networks

Hongzhan Yu, Sicun Gao

A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design

Zhihai Wang, Jie Wang, Dongsheng Zuo et al.

A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data

Wenqiang Li, Weijun Li, Lina Yu et al.

An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks

Zhifa Ke, Zaiwen Wen, Junyu Zhang

An Information Theoretic Approach to Interaction-Grounded Learning

Xiaoyan Hu, Farzan Farnia, Ho-fung Leung

Augmenting Decision with Hypothesis in Reinforcement Learning

Nguyen Minh Quang, Hady Lauw

Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays

Qingyuan Wu, Simon Zhan, Yixuan Wang et al.

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning

Zizhao Wang, Caroline Wang, Xuesu Xiao et al.

Code as Reward: Empowering Reinforcement Learning with VLMs

David Venuto, Mohammad Sami Nur Islam, Martin Klissarov et al.

ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference

Ziqian Zeng, Yihuai Hong, Hongliang Dai et al.

Cross-Domain Policy Adaptation by Capturing Representation Mismatch

Jiafei Lyu, Chenjia Bai, Jing-Wen Yang et al.

Dealing With Unbounded Gradients in Stochastic Saddle-point Optimization

Gergely Neu, Nneka Okolo

DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization

Wenze Chen, Shiyu Huang, Yuan Chiang et al.

DiffAIL: Diffusion Adversarial Imitation Learning

Bingzheng Wang, Guoqiang Wu, Teng Pang et al.

Discerning Temporal Difference Learning

DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation

Yinjun Wu, Mayank Keoliya, Kan Chen et al.

Dynamic Knowledge Injection for AIXI Agents

Samuel Yang-Zhao, Kee Siong Ng, Marcus Hutter

Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design

Shuze Liu, Shangtong Zhang

Efficient World Models with Context-Aware Tokenization

Vincent Micheli, Eloi Alonso, François Fleuret

EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data

Shengjie Wang, Shaohuai Liu, Weirui Ye et al.

Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward

Haoxin Lin, Hongqiu Wu, Jiaji Zhang et al.

EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search

Pengyi Li, Yan Zheng, Hongyao Tang et al.

Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations

Zilin Wang, Haolin Zhuang, Lu Li et al.