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2002.02794
Cited By
Reward-Free Exploration for Reinforcement Learning
International Conference on Machine Learning (ICML), 2020
7 February 2020
Chi Jin
A. Krishnamurthy
Max Simchowitz
Tiancheng Yu
OffRL
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Papers citing
"Reward-Free Exploration for Reinforcement Learning"
50 / 159 papers shown
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Instance-Dependent Continuous-Time Reinforcement Learning via Maximum Likelihood Estimation
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Mixture of Autoencoder Experts Guidance using Unlabeled and Incomplete Data for Exploration in Reinforcement Learning
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Pieter Simoens
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191
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21 Jul 2025
Statistical and Algorithmic Foundations of Reinforcement Learning
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Yuxin Chen
Yuting Wei
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278
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19 Jul 2025
Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks
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Michael Lanier
Anindya Sarkar
Bengisu Guresti
Yevgeniy Vorobeychik
Chongjie Zhang
470
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26 Feb 2025
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems
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Seung-Woo Seo
433
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30 Jan 2025
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Chengrui Qu
Laixi Shi
Kishan Panaganti
Pengcheng You
Adam Wierman
OffRL
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312
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0
06 Nov 2024
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms
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Raman Arora
447
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Can we hop in general? A discussion of benchmark selection and design using the Hopper environment
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389
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Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition
International Conference on Learning Representations (ICLR), 2024
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457
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0
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Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner
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462
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0
30 Sep 2024
Advances in Preference-based Reinforcement Learning: A Review
IEEE International Conference on Systems, Man and Cybernetics (SMC), 2022
Youssef Abdelkareem
Shady Shehata
Fakhri Karray
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304
18
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21 Aug 2024
Efficient Reinforcement Learning in Probabilistic Reward Machines
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Xuezhou Zhang
317
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DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
Huajian Xin
Zhaochun Ren
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Zhibin Gou
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Fuli Luo
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Problem Solving Through Human-AI Preference-Based Cooperation
Computational Linguistics (CL), 2024
Subhabrata Dutta
Timo Kaufmann
Goran Glavaš
Ivan Habernal
Kristian Kersting
Frauke Kreuter
Mira Mezini
Iryna Gurevych
Eyke Hüllermeier
Hinrich Schuetze
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International Conference on Learning Representations (ICLR), 2024
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451
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Uncertainty-Aware Reward-Free Exploration with General Function Approximation
Junkai Zhang
Weitong Zhang
Dongruo Zhou
Q. Gu
498
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Beyond Optimism: Exploration With Partially Observable Rewards
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300
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Hybrid Reinforcement Learning from Offline Observation Alone
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353
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287
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453
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Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff
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292
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What Are the Odds? Improving the foundations of Statistical Model Checking
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Maximilian Weininger
Patrick Wienhoft
507
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Multiple-policy Evaluation via Density Estimation
Yilei Chen
Aldo Pacchiano
I. Paschalidis
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444
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Horizon-Free Regret for Linear Markov Decision Processes
Zihan Zhang
Jason D. Lee
Yuxin Chen
Simon S. Du
260
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Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
Ziping Xu
Zifan Xu
Runxuan Jiang
Peter Stone
Ambuj Tewari
431
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Scale-free Adversarial Reinforcement Learning
Mingyu Chen
Xuezhou Zhang
352
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Tianying Ji
Yongyuan Liang
Yan Zeng
Yu-Juan Luo
Guowei Xu
Jiawei Guo
Ruijie Zheng
Furong Huang
Gang Hua
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386
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Offline Multi-task Transfer RL with Representational Penalization
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Zhenni Li
Minrui Xu
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228
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Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints
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335
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Jonathan Lee
Emma Brunskill
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239
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Accelerating Exploration with Unlabeled Prior Data
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Jason Zhang
Dibya Ghosh
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473
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DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
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Guowei Xu
Ruijie Zheng
Yongyuan Liang
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Zhecheng Yuan
...
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Yanjie Ze
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394
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Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias
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Archit Sharma
Fahim Tajwar
Rafael Rafailov
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343
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Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
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Mirco Mutti
Ric De Santi
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374
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Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Stefan Stojanovic
Yassir Jedra
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363
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When is Agnostic Reinforcement Learning Statistically Tractable?
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Zeyu Jia
Gene Li
Alexander Rakhlin
Ayush Sekhari
Nathan Srebro
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383
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Learning to Make Adherence-Aware Advice
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Xiaocheng Li
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280
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Zero-Shot Reinforcement Learning from Low Quality Data
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404
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186
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Masatoshi Uehara
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468
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