reward-free exploration

Reinforcement Learning Without Explicit Rewards: Theory and Practice AAAI 2026 Necessary and Sufficient Oracles: Toward a Computational Taxonomy for Reinforcement Learning COLT 2025 How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach NeurIPS 2024 Minimax-optimal reward-agnostic exploration in reinforcement learning COLT 2024 Model-Free Representation Learning and Exploration in Low-Rank MDPs JMLR 2024 Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks IJCAI 2024 Reward-Free Curricula for Training Robust World Models ICLR 2024 SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions NeurIPS 2024 The Value of Reward Lookahead in Reinforcement Learning NeurIPS 2024 Uncertainty-Aware Reward-Free Exploration with General Function Approximation ICML 2024 Active Coverage for PAC Reinforcement Learning COLT 2023 Does Zero-Shot Reinforcement Learning Exist? ICLR 2023 Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs ICLR 2023 One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning AISTATS 2023 Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs ICML 2023 Provably Efficient Adversarial Imitation Learning with Unknown Transitions UAI 2023 Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL ICML 2023 Branching Reinforcement Learning ICML 2022 Exploration via Elliptical Episodic Bonuses NeurIPS 2022 Gap-Dependent Unsupervised Exploration for Reinforcement Learning AISTATS 2022 Learning General World Models in a Handful of Reward-Free Deployments NeurIPS 2022 Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver ICLR 2022 One After Another: Learning Incremental Skills for a Changing World ICLR 2022 On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL NeurIPS 2022 Provable Benefit of Multitask Representation Learning in Reinforcement Learning NeurIPS 2022