neural network policy

Probabilistic Safety Verification of Neural Policies via Predicate Abstraction AAAI 2026 Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees NeurIPS 2023 Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths NeurIPS 2023 UniFolding: Towards Sample-efficient, Scalable, and Generalizable Robotic Garment Folding CoRL 2023 Adversarially Regularized Policy Learning Guided by Trajectory Optimization L4DC 2022 Symbolic Distillation for Learned TCP Congestion Control NeurIPS 2022 Compositional Reinforcement Learning from Logical Specifications NeurIPS 2021 Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning CoRL 2021 Enforcing robust control guarantees within neural network policies ICLR 2021 Learning to Synthesize Programs as Interpretable and Generalizable Policies NeurIPS 2021 Discriminative Particle Filter Reinforcement Learning for Complex Partial observations ICLR 2020 From pixels to legs: Hierarchical learning of quadruped locomotion CoRL 2020 Neural Network Control Policy Verification With Persistent Adversarial Perturbation ICML 2020 Probably Approximately Correct Vision-Based Planning using Motion Primitives CoRL 2020 Learning to Walk Via Deep Reinforcement Learning RSS 2019 Constrained Policy Optimization ICML 2017 Trust Region Policy Optimization ICML 2015 Learning Complex Neural Network Policies with Trajectory Optimization ICML 2014 Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics NeurIPS 2014