:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yang, Tong, Ryu, Moonkyung, Hsu, Chih-Wei, Tennenholtz, Guy, Chi, Yuejie, Boutilier, Craig, Dai, Bo
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.06981
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Preference Adaptive and Sequential Text-to-Image Generation
by: Nabati, Ofir, et al.
Published: (2024)

Embedding-Aligned Language Models
by: Tennenholtz, Guy, et al.
Published: (2024)

Synthetic Dialogue Generation for Interactive Conversational Elicitation & Recommendation (ICER)
by: Ryu, Moonkyung, et al.
Published: (2025)

Controllable User Simulation
by: Tennenholtz, Guy, et al.
Published: (2026)

Demystifying Embedding Spaces using Large Language Models
by: Tennenholtz, Guy, et al.
Published: (2023)

Descriptive History Representations: Learning Representations by Answering Questions
by: Tennenholtz, Guy, et al.
Published: (2025)

Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
by: Chow, Yinlam, et al.
Published: (2024)

DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
by: Liang, Anthony, et al.
Published: (2024)

Asking Clarifying Questions for Preference Elicitation With Large Language Models
by: Montazeralghaem, Ali, et al.
Published: (2025)

Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games
by: Yang, Tong, et al.
Published: (2025)

Statistical and Algorithmic Foundations of Reinforcement Learning
by: Chi, Yuejie, et al.
Published: (2025)

Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
by: Yang, Tong, et al.
Published: (2023)

Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF
by: Cen, Shicong, et al.
Published: (2024)

Representation-Driven Reinforcement Learning
by: Nabati, Ofir, et al.
Published: (2023)

Agentic Transformers Provably Learn to Search via Reinforcement Learning
by: Yang, Tong, et al.
Published: (2026)

Beyond Expectations: Learning with Stochastic Dominance Made Practical
by: Cen, Shicong, et al.
Published: (2024)

Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent
by: Yang, Tong, et al.
Published: (2025)

From Noise to Control: Parameterized Diffusion Policies
by: Zhang, Renhao, et al.
Published: (2026)

Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation
by: Dong, Harry, et al.
Published: (2024)

Accelerating Convergence of Score-Based Diffusion Models, Provably
by: Li, Gen, et al.
Published: (2024)

Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference
by: Dong, Harry, et al.
Published: (2024)

Preconditioning Benefits of Spectral Orthogonalization in Muon
by: Ma, Jianhao, et al.
Published: (2026)

Scalable LLM Reasoning Acceleration with Low-rank Distillation
by: Dong, Harry, et al.
Published: (2025)

Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization
by: Huang, Yu, et al.
Published: (2025)

Learning Discrete Concepts in Latent Hierarchical Models
by: Kong, Lingjing, et al.
Published: (2024)

Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL
by: Yang, Tong, et al.
Published: (2025)

The Implicit Curriculum: Learning Dynamics in RL with Verifiable Rewards
by: Huang, Yu, et al.
Published: (2026)

Interpretable Neural Networks with Random Constructive Algorithm
by: Nan, Jing, et al.
Published: (2023)

On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning
by: Zhang, Yifan, et al.
Published: (2025)

DARE: Diffusion Language Model Activation Reuse for Efficient Inference
by: Frumkin, Natalia, et al.
Published: (2026)

Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling
by: Shapira, Eilam, et al.
Published: (2026)

Efficient, Property-Aligned Fan-Out Retrieval via RL-Compiled Diffusion
by: Jiang, Pengcheng, et al.
Published: (2026)

Policy Optimization for Personalized Interventions in Behavioral Health
by: Baek, Jackie, et al.
Published: (2023)

Spectral Bellman Method: Unifying Representation and Exploration in RL
by: Nabati, Ofir, et al.
Published: (2025)

LoRe: Personalizing LLMs via Low-Rank Reward Modeling
by: Bose, Avinandan, et al.
Published: (2025)

Generalized Parallel Scaling with Interdependent Generations
by: Dong, Harry, et al.
Published: (2025)

Enhanced DACER Algorithm with High Diffusion Efficiency
by: Wang, Yinuo, et al.
Published: (2025)

Diffusion Spectral Representation for Reinforcement Learning
by: Shribak, Dmitry, et al.
Published: (2024)

Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
by: Gu, Shangding, et al.
Published: (2025)

Parameterized Projected Bellman Operator
by: Vincent, Théo, et al.
Published: (2023)