:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cohen, Lior, Wang, Kaixin, Kang, Bingyi, Mannor, Shie
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2402.05643
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Simulus: Combining Improvements in Sample-Efficient World Model Agents
by: Cohen, Lior, et al.
Published: (2025)

Horizon Imagination: Efficient On-Policy Rollout in Diffusion World Models
by: Cohen, Lior, et al.
Published: (2026)

MinMaxMin $Q$-learning
by: Soffair, Nitsan, et al.
Published: (2024)

Conservative DDPG -- Pessimistic RL without Ensemble
by: Soffair, Nitsan, et al.
Published: (2024)

Sobolev Space Regularised Pre Density Models
by: Kozdoba, Mark, et al.
Published: (2023)

Controlling False Discovery in Arbitrarily Structured Hypothesis Spaces via Reproducing Kernels
by: Perets, Binyamin, et al.
Published: (2026)

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

Tree Search-Based Policy Optimization under Stochastic Execution Delay
by: Valensi, David, et al.
Published: (2024)

SQT -- std $Q$-target
by: Soffair, Nitsan, et al.
Published: (2024)

RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
by: Kwon, Jeongyeol, et al.
Published: (2024)

Policy Gradient with Tree Expansion
by: Dalal, Gal, et al.
Published: (2023)

VLM-Guided Experience Replay
by: Sharony, Elad, et al.
Published: (2026)

Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization
by: Du, Yihan, et al.
Published: (2024)

Improving Inverse Folding for Peptide Design with Diversity-regularized Direct Preference Optimization
by: Park, Ryan, et al.
Published: (2024)

Policy Gradient with Tree Search: Avoiding Local Optimas through Lookahead
by: Koren, Uri, et al.
Published: (2025)

Dual Formulation for Non-Rectangular Lp Robust Markov Decision Processes
by: Kumar, Navdeep, et al.
Published: (2025)

Learning Multiple Initial Solutions to Optimization Problems
by: Sharony, Elad, et al.
Published: (2024)

Task Tokens: A Flexible Approach to Adapting Behavior Foundation Models
by: Vainshtein, Ron, et al.
Published: (2025)

Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs
by: Fuhrer, Benjamin, et al.
Published: (2022)

Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel
by: Wang, Kaixin, et al.
Published: (2023)

Representative Action Selection for Large Action Space: From Bandits to MDPs
by: Zhou, Quan, et al.
Published: (2025)

BagStacking: An Integrated Ensemble Learning Approach for Freezing of Gait Detection in Parkinson's Disease
by: Cohen, Seffi, et al.
Published: (2024)

FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification
by: Cohen-Inger, Nurit, et al.
Published: (2025)

Optimal Sample Complexity for Single Time-Scale Actor-Critic with Momentum
by: Kumar, Navdeep, et al.
Published: (2026)

Efficient Fairness-Performance Pareto Front Computation
by: Kozdoba, Mark, et al.
Published: (2024)

The Value of Mechanistic Priors in Sequential Decision Making
by: Shufaro, Itai, et al.
Published: (2026)

Mutual Information Regularized Offline Reinforcement Learning
by: Ma, Xiao, et al.
Published: (2022)

Self-Improving World Modelling with Latent Actions
by: Qiu, Yifu, et al.
Published: (2026)

Training Large Language Models To Reason In Parallel With Global Forking Tokens
by: Jia, Sheng, et al.
Published: (2025)

DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance
by: Cohen, Seffi, et al.
Published: (2025)

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems
by: Cohen-Inger, Nurit, et al.
Published: (2025)

Forget What You Know about LLMs Evaluations -- LLMs are Like a Chameleon
by: Cohen-Inger, Nurit, et al.
Published: (2025)

Representative Action Selection for Large Action Space Bandit Families
by: Zhou, Quan, et al.
Published: (2025)

Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement
by: Zhong, Qimin, et al.
Published: (2026)

LEAP: Unlocking dLLM Parallelism via Lookahead Early-Convergence Token Detection
by: Zhang, Haohui, et al.
Published: (2026)

From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis
by: Lutsker, Guy, et al.
Published: (2024)

DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution
by: Yue, Yang, et al.
Published: (2024)

MADiff: Offline Multi-agent Learning with Diffusion Models
by: Zhu, Zhengbang, et al.
Published: (2023)

Towards Unraveling and Improving Generalization in World Models
by: Fang, Qiaoyi, et al.
Published: (2024)

Detection-Driven Object Count Optimization for Text-to-Image Diffusion Models
by: Zafar, Oz, et al.
Published: (2024)