model-free reinforcement learning

Provably Efficient Reinforcement Learning in Continuous-Time Episodic MDPs with Poisson Decision Epochs UAI 2026 Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings AAAI 2025 Interpreting Emergent Planning in Model-Free Reinforcement Learning ICLR 2025 Q-function Decomposition with Intervention Semantics for Factored Action Spaces AISTATS 2025 Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics ICLR 2025 SPoRt - Safe Policy Ratio: Certified Training and Deployment of Task Policies in Model-Free RL IJCAI 2025 Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs ICLR 2025 Towards General-Purpose Model-Free Reinforcement Learning ICLR 2025 Efficient Dynamics Modeling in Interactive Environments with Koopman Theory ICLR 2024 Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning IJCAI 2024 Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NeurIPS 2024 Model-Free Robust Reinforcement Learning with Sample Complexity Analysis UAI 2024 On Representation Complexity of Model-based and Model-free Reinforcement Learning ICLR 2024 Real-world fluid directed rigid body control via deep reinforcement learning L4DC 2024 Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning JMLR 2024 The Non-linear F-Design and Applications to Interactive Learning ICML 2024 Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL AISTATS 2024 Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates ICLR 2024 Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation ICLR 2023 Demonstrating A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning RSS 2023 Detection of Man-in-the-Middle Attacks in Model-Free Reinforcement Learning L4DC 2023 Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration NeurIPS 2023 Model-free Posterior Sampling via Learning Rate Randomization NeurIPS 2023 Model-Free Reinforcement Learning with the Decision-Estimation Coefficient NeurIPS 2023 ODE-based Recurrent Model-free Reinforcement Learning for POMDPs NeurIPS 2023