model-free algorithm

Bilevel Reinforcement Learning via the Development of Hyper-gradient without Lower-Level Convexity AISTATS 2025 Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization ICML 2025 Relaxed Transition Kernels can Cure Underestimation in Adversarial Offline Reinforcement Learning ACML 2025 Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control NeurIPS 2024 Federated Q-Learning: Linear Regret Speedup with Low Communication Cost ICLR 2024 Model-Free Representation Learning and Exploration in Low-Rank MDPs JMLR 2024 Model-Free Robust $φ$-Divergence Reinforcement Learning Using Both Offline and Online Data ICML 2024 The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm ICML 2024 Model-Free Robust Average-Reward Reinforcement Learning ICML 2023 Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints JMLR 2023 A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes AAAI 2022 Offline RL Policies Should Be Trained to be Adaptive ICML 2022 On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning ICML 2022 Provably Efficient Model-Free Constrained RL with Linear Function Approximation NeurIPS 2022 Towards General Function Approximation in Zero-Sum Markov Games ICLR 2022 Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation AISTATS 2022 A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning NeurIPS 2021 Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning NeurIPS 2021 Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations ICML 2021 Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels ICLR 2021 Reinforcement Learning with Latent Flow NeurIPS 2021 Predictor-Corrector Policy Optimization ICML 2019 Provably Efficient Imitation Learning from Observation Alone ICML 2019 Model-Free Trajectory Optimization for Reinforcement Learning ICML 2016