Saved in:
| Main Authors: | Nabati, Ofir, Dai, Bo, Mannor, Shie, Tennenholtz, Guy |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.13181 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Representation-Driven Reinforcement Learning
by: Nabati, Ofir, et al.
Published: (2023)
by: Nabati, Ofir, et al.
Published: (2023)
Horizon Imagination: Efficient On-Policy Rollout in Diffusion World Models
by: Cohen, Lior, et al.
Published: (2026)
by: Cohen, Lior, et al.
Published: (2026)
Conservative DDPG -- Pessimistic RL without Ensemble
by: Soffair, Nitsan, et al.
Published: (2024)
by: Soffair, Nitsan, et al.
Published: (2024)
MinMaxMin $Q$-learning
by: Soffair, Nitsan, et al.
Published: (2024)
by: Soffair, Nitsan, et al.
Published: (2024)
Representative Action Selection for Large Action Space: From Bandits to MDPs
by: Zhou, Quan, et al.
Published: (2025)
by: Zhou, Quan, et al.
Published: (2025)
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
by: Kwon, Jeongyeol, et al.
Published: (2024)
by: Kwon, Jeongyeol, et al.
Published: (2024)
Controlling False Discovery in Arbitrarily Structured Hypothesis Spaces via Reproducing Kernels
by: Perets, Binyamin, et al.
Published: (2026)
by: Perets, Binyamin, et al.
Published: (2026)
Spectral Souping: A Unified Framework for Online Preference Alignment
by: Chow, Yinlam, et al.
Published: (2026)
by: Chow, Yinlam, et al.
Published: (2026)
RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression
by: Gadot, Uri, et al.
Published: (2025)
by: Gadot, Uri, et al.
Published: (2025)
Efficient Fairness-Performance Pareto Front Computation
by: Kozdoba, Mark, et al.
Published: (2024)
by: Kozdoba, Mark, et al.
Published: (2024)
The Value of Mechanistic Priors in Sequential Decision Making
by: Shufaro, Itai, et al.
Published: (2026)
by: Shufaro, Itai, et al.
Published: (2026)
Sobolev Space Regularised Pre Density Models
by: Kozdoba, Mark, et al.
Published: (2023)
by: Kozdoba, Mark, et al.
Published: (2023)
Representative Action Selection for Large Action Space Bandit Families
by: Zhou, Quan, et al.
Published: (2025)
by: Zhou, Quan, et al.
Published: (2025)
Preference Adaptive and Sequential Text-to-Image Generation
by: Nabati, Ofir, et al.
Published: (2024)
by: Nabati, Ofir, et al.
Published: (2024)
Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization
by: Du, Yihan, et al.
Published: (2024)
by: Du, Yihan, et al.
Published: (2024)
A Classification View on Meta Learning Bandits
by: Mutti, Mirco, et al.
Published: (2025)
by: Mutti, Mirco, et al.
Published: (2025)
On Bits and Bandits: Quantifying the Regret-Information Trade-off
by: Shufaro, Itai, et al.
Published: (2024)
by: Shufaro, Itai, et al.
Published: (2024)
Task Tokens: A Flexible Approach to Adapting Behavior Foundation Models
by: Vainshtein, Ron, et al.
Published: (2025)
by: Vainshtein, Ron, et al.
Published: (2025)
Improving Token-Based World Models with Parallel Observation Prediction
by: Cohen, Lior, et al.
Published: (2024)
by: Cohen, Lior, et al.
Published: (2024)
Tree Search-Based Policy Optimization under Stochastic Execution Delay
by: Valensi, David, et al.
Published: (2024)
by: Valensi, David, et al.
Published: (2024)
SQT -- std $Q$-target
by: Soffair, Nitsan, et al.
Published: (2024)
by: Soffair, Nitsan, et al.
Published: (2024)
Generalizable and Robust Spectral Method for Multi-view Representation Learning
by: Yacobi, Amitai, et al.
Published: (2024)
by: Yacobi, Amitai, et al.
Published: (2024)
Reinforcement Learning with Segment Feedback
by: Du, Yihan, et al.
Published: (2025)
by: Du, Yihan, et al.
Published: (2025)
Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel
by: Wang, Kaixin, et al.
Published: (2023)
by: Wang, Kaixin, et al.
Published: (2023)
Simulus: Combining Improvements in Sample-Efficient World Model Agents
by: Cohen, Lior, et al.
Published: (2025)
by: Cohen, Lior, et al.
Published: (2025)
Policy Gradient with Tree Expansion
by: Dalal, Gal, et al.
Published: (2023)
by: Dalal, Gal, et al.
Published: (2023)
On the Convergence of Single-Timescale Actor-Critic
by: Kumar, Navdeep, et al.
Published: (2024)
by: Kumar, Navdeep, et al.
Published: (2024)
VLM-Guided Experience Replay
by: Sharony, Elad, et al.
Published: (2026)
by: Sharony, Elad, et al.
Published: (2026)
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
by: Liang, Anthony, et al.
Published: (2024)
by: Liang, Anthony, et al.
Published: (2024)
Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators
by: Linial, Ori, et al.
Published: (2024)
by: Linial, Ori, et al.
Published: (2024)
Bayesian Regret Minimization in Offline Bandits
by: Petrik, Marek, et al.
Published: (2023)
by: Petrik, Marek, et al.
Published: (2023)
State Entropy Regularization for Robust Reinforcement Learning
by: Ashlag, Yonatan, et al.
Published: (2025)
by: Ashlag, Yonatan, et al.
Published: (2025)
Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization
by: Gadot, Uri, et al.
Published: (2023)
by: Gadot, Uri, et al.
Published: (2023)
Adversarial Bandit over Bandits: Hierarchical Bandits for Online Configuration Management
by: Avin, Chen, et al.
Published: (2025)
by: Avin, Chen, et al.
Published: (2025)
Policy Gradient with Tree Search: Avoiding Local Optimas through Lookahead
by: Koren, Uri, et al.
Published: (2025)
by: Koren, Uri, et al.
Published: (2025)
On the Global Convergence of Policy Gradient in Average Reward Markov Decision Processes
by: Kumar, Navdeep, et al.
Published: (2024)
by: Kumar, Navdeep, et al.
Published: (2024)
Learning Multiple Initial Solutions to Optimization Problems
by: Sharony, Elad, et al.
Published: (2024)
by: Sharony, Elad, et al.
Published: (2024)
Optimal Sample Complexity for Single Time-Scale Actor-Critic with Momentum
by: Kumar, Navdeep, et al.
Published: (2026)
by: Kumar, Navdeep, et al.
Published: (2026)
Dual Formulation for Non-Rectangular Lp Robust Markov Decision Processes
by: Kumar, Navdeep, et al.
Published: (2025)
by: Kumar, Navdeep, et al.
Published: (2025)
Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL
by: Yang, Tong, et al.
Published: (2025)
by: Yang, Tong, et al.
Published: (2025)
Similar Items
-
Representation-Driven Reinforcement Learning
by: Nabati, Ofir, et al.
Published: (2023) -
Horizon Imagination: Efficient On-Policy Rollout in Diffusion World Models
by: Cohen, Lior, et al.
Published: (2026) -
Conservative DDPG -- Pessimistic RL without Ensemble
by: Soffair, Nitsan, et al.
Published: (2024) -
MinMaxMin $Q$-learning
by: Soffair, Nitsan, et al.
Published: (2024) -
Representative Action Selection for Large Action Space: From Bandits to MDPs
by: Zhou, Quan, et al.
Published: (2025)