Saved in:
| Main Authors: | Mutti, Mirco, Kwon, Jeongyeol, Mannor, Shie, Tamar, Aviv |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.04505 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Test-Time Regret Minimization in Meta Reinforcement Learning
by: Mutti, Mirco, et al.
Published: (2024)
by: Mutti, Mirco, et al.
Published: (2024)
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)
State Entropy Regularization for Robust Reinforcement Learning
by: Ashlag, Yonatan, et al.
Published: (2025)
by: Ashlag, Yonatan, et al.
Published: (2025)
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)
Temporal Difference Calibration in Sequential Tasks: Application to Vision-Language-Action Models
by: Francis-Meretzki, Shelly, et al.
Published: (2026)
by: Francis-Meretzki, Shelly, et al.
Published: (2026)
Representative Action Selection for Large Action Space Bandit Families
by: Zhou, Quan, et al.
Published: (2025)
by: Zhou, Quan, et al.
Published: (2025)
Blindfolded Experts Generalize Better: Insights from Robotic Manipulation and Videogames
by: Zisselman, Ev, et al.
Published: (2025)
by: Zisselman, Ev, 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)
Adversarial Bandit over Bandits: Hierarchical Bandits for Online Configuration Management
by: Avin, Chen, et al.
Published: (2025)
by: Avin, Chen, et al.
Published: (2025)
MinMaxMin $Q$-learning
by: Soffair, Nitsan, et al.
Published: (2024)
by: Soffair, Nitsan, et al.
Published: (2024)
Conservative DDPG -- Pessimistic RL without Ensemble
by: Soffair, Nitsan, et al.
Published: (2024)
by: Soffair, Nitsan, et al.
Published: (2024)
Representation-Driven Reinforcement Learning
by: Nabati, Ofir, et al.
Published: (2023)
by: Nabati, Ofir, et al.
Published: (2023)
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)
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)
Improved Offline Contextual Bandits with Second-Order Bounds: Betting and Freezing
by: Ryu, J. Jon, et al.
Published: (2025)
by: Ryu, J. Jon, et al.
Published: (2025)
Task Tokens: A Flexible Approach to Adapting Behavior Foundation Models
by: Vainshtein, Ron, et al.
Published: (2025)
by: Vainshtein, Ron, et al.
Published: (2025)
Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach
by: Rimon, Zohar, et al.
Published: (2022)
by: Rimon, Zohar, et al.
Published: (2022)
Reinforcement Learning with Segment Feedback
by: Du, Yihan, et al.
Published: (2025)
by: Du, Yihan, et al.
Published: (2025)
Spectral Bellman Method: Unifying Representation and Exploration in RL
by: Nabati, Ofir, et al.
Published: (2025)
by: Nabati, Ofir, et al.
Published: (2025)
On the Complexity of First-Order Methods in Stochastic Bilevel Optimization
by: Kwon, Jeongyeol, et al.
Published: (2024)
by: Kwon, Jeongyeol, et al.
Published: (2024)
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)
Towards Principled Unsupervised Multi-Agent Reinforcement Learning
by: Zamboni, Riccardo, et al.
Published: (2025)
by: Zamboni, Riccardo, et al.
Published: (2025)
Reward Compatibility: A Framework for Inverse RL
by: Lazzati, Filippo, et al.
Published: (2025)
by: Lazzati, Filippo, et al.
Published: (2025)
MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning
by: Rimon, Zohar, et al.
Published: (2024)
by: Rimon, Zohar, et al.
Published: (2024)
SQT -- std $Q$-target
by: Soffair, Nitsan, et al.
Published: (2024)
by: Soffair, Nitsan, et al.
Published: (2024)
Horizon Imagination: Efficient On-Policy Rollout in Diffusion World Models
by: Cohen, Lior, et al.
Published: (2026)
by: Cohen, Lior, et al.
Published: (2026)
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)
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach
by: Lazzati, Filippo, et al.
Published: (2024)
by: Lazzati, Filippo, et al.
Published: (2024)
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
by: Kwon, Jeongyeol, et al.
Published: (2023)
by: Kwon, Jeongyeol, 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)
Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms
by: Lazzati, Filippo, et al.
Published: (2024)
by: Lazzati, Filippo, 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)
Learning Multiple Initial Solutions to Optimization Problems
by: Sharony, Elad, et al.
Published: (2024)
by: Sharony, Elad, et al.
Published: (2024)
VLM-Guided Experience Replay
by: Sharony, Elad, et al.
Published: (2026)
by: Sharony, Elad, 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)
Similar Items
-
Test-Time Regret Minimization in Meta Reinforcement Learning
by: Mutti, Mirco, et al.
Published: (2024) -
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
by: Kwon, Jeongyeol, et al.
Published: (2024) -
State Entropy Regularization for Robust Reinforcement Learning
by: Ashlag, Yonatan, et al.
Published: (2025) -
Representative Action Selection for Large Action Space: From Bandits to MDPs
by: Zhou, Quan, et al.
Published: (2025) -
Temporal Difference Calibration in Sequential Tasks: Application to Vision-Language-Action Models
by: Francis-Meretzki, Shelly, et al.
Published: (2026)