policy update

Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR ACL 2026 Safe Planning in Interactive Environments via Iterative Policy Updates and Adversarially Robust Conformal Prediction L4DC 2026 Extreme Value Policy Optimization for Safe Reinforcement Learning ICML 2025 IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic ICML 2025 Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation UAI 2025 Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning ICLR 2024 Pausing Policy Learning in Non-stationary Reinforcement Learning ICML 2024 Optimism and Delays in Episodic Reinforcement Learning AISTATS 2023 Episodic Policy Gradient Training AAAI 2022 Convex Regularization in Monte-Carlo Tree Search ICML 2021 On the role of planning in model-based deep reinforcement learning ICLR 2021 Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach AAAI 2021 Inferring learning rules from animal decision-making NeurIPS 2020 Projections for Approximate Policy Iteration Algorithms ICML 2019 Model-Free Trajectory Optimization for Reinforcement Learning ICML 2016