policy search

Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics AAAI 2026 Augmented Bayesian Policy Search ICLR 2024 Data-Efficient Policy Evaluation Through Behavior Policy Search JMLR 2024 EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search ICML 2024 FedAvP: Augment Local Data via Shared Policy in Federated Learning NeurIPS 2024 Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs ICLR 2024 Hybrid Inverse Reinforcement Learning ICML 2024 On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control JMLR 2024 Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes UAI 2024 Reinforcement learning-driven parametric curve fitting for snake robot gait design L4DC 2024 Resilient Constrained Reinforcement Learning AISTATS 2024 Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract) AAAI 2023 Heuristic Search for Multi-Objective Probabilistic Planning AAAI 2023 CUP: Critic-Guided Policy Reuse NeurIPS 2022 Dimensionality Reduction and Prioritized Exploration for Policy Search AISTATS 2022 Explicable Policy Search NeurIPS 2022 Globally Convergent Policy Search for Output Estimation NeurIPS 2022 Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning JMLR 2022 PG3: Policy-Guided Planning for Generalized Policy Generation IJCAI 2022 Cautious Bayesian Optimization for Efficient and Scalable Policy Search L4DC 2021 Deep Coherent Exploration for Continuous Control ICML 2021 Local policy search with Bayesian optimization NeurIPS 2021 Redundancy Resolution as Action Bias in Policy Search for Robotic Manipulation CoRL 2021 Searching for Alignment in Face Recognition AAAI 2021 Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs AAAI 2020