"reinforcement learning" Papers

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.

Fair Resource Allocation in Multi-Task Learning

Hao Ban, Kaiyi Ji

Feedback Efficient Online Fine-Tuning of Diffusion Models

Masatoshi Uehara, Yulai Zhao, Kevin Black et al.

Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem

Maciej Wołczyk, Bartłomiej Cupiał, Mateusz Ostaszewski et al.

Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation

Rahul Singh, Akshay Mete, Avik Kar et al.

Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning

Hengkai Tan, LIU SONGMING, Kai Ma et al.

FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning

Yuwei Fu, Haichao Zhang, di wu et al.

Hieros: Hierarchical Imagination on Structured State Space Sequence World Models

Paul Mattes, Rainer Schlosser, Ralf Herbrich

Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States

Noam Razin, Yotam Alexander, Edo Cohen-Karlik et al.

Improving Token-Based World Models with Parallel Observation Prediction

Lior Cohen, Kaixin Wang, Bingyi Kang et al.

Iterative Regularized Policy Optimization with Imperfect Demonstrations

Xudong Gong, Feng Dawei, Kele Xu et al.

Knowledge-aware Reinforced Language Models for Protein Directed Evolution

Yuhao Wang, Qiang Zhang, Ming Qin et al.

Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game

Zelai Xu, Chao Yu, Fei Fang et al.

Learning Causal Dynamics Models in Object-Oriented Environments

Zhongwei Yu, Jingqing Ruan, Dengpeng Xing

Learning Diverse Risk Preferences in Population-Based Self-Play

Yuhua Jiang, Qihan Liu, Xiaoteng Ma et al.

Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making

Vivek Myers, Chongyi Zheng, Anca Dragan et al.

Learning the Target Network in Function Space

Kavosh Asadi, Yao Liu, Shoham Sabach et al.

Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces

Brahma Pavse, Matthew Zurek, Yudong Chen et al.

Learning Uncertainty-Aware Temporally-Extended Actions

Joongkyu Lee, Seung Joon Park, Yunhao Tang et al.

Linguistic Calibration of Long-Form Generations

Neil Band, Xuechen Li, Tengyu Ma et al.

LLM-Empowered State Representation for Reinforcement Learning

Boyuan Wang, Yun Qu, Yuhang Jiang et al.

Mixtures of Experts Unlock Parameter Scaling for Deep RL

Johan Obando Ceron, Ghada Sokar, Timon Willi et al.

Multimodal Label Relevance Ranking via Reinforcement Learning

Taian Guo, Taolin Zhang, Haoqian Wu et al.

Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback

Asaf Cassel, Haipeng Luo, Aviv Rosenberg et al.

No-Regret Reinforcement Learning in Smooth MDPs

Davide Maran, Alberto Maria Metelli, Matteo Papini et al.

OMPO: A Unified Framework for RL under Policy and Dynamics Shifts

Yu Luo, Tianying Ji, Fuchun Sun et al.

On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation

Álvaro Labarca Silva, Denis Parra, Rodrigo A Toro Icarte

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments

Jinyi Liu, Zhi Wang, Yan Zheng et al.

Parameterized Projected Bellman Operator

Théo Vincent, Alberto Maria Metelli, Boris Belousov et al.

Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners

Chengjie Wu, Hao Hu, yiqin yang et al.

Policy-conditioned Environment Models are More Generalizable

Ruifeng Chen, Xiong-Hui Chen, Yihao Sun et al.

Position: Social Environment Design Should be Further Developed for AI-based Policy-Making

Edwin Zhang, Sadie Zhao, Tonghan Wang et al.