control policy

Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning ICML 2021 Improving the Morphology and Control Policy of Self-reconfiguring Modular Robots in Dynamic Environment (Student Abstract) AAAI 2021 Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation JMLR 2021 Neural Lyapunov Redesign L4DC 2021 Self-Supervised Learning of Long-Horizon Manipulation Tasks with Finite-State Task Machines L4DC 2021 The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies L4DC 2021 Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning CoRL 2020 Neural Network Control Policy Verification With Persistent Adversarial Perturbation ICML 2020 A Composable Specification Language for Reinforcement Learning Tasks NeurIPS 2019 Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup RSS 2019 The Utility of Sparse Representations for Control in Reinforcement Learning AAAI 2019 Transfer in Deep Reinforcement Learning Using Knowledge Graphs EMNLP 2019 Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation ICML 2019 Agile Autonomous Driving using End-to-End Deep Imitation Learning RSS 2018 Learning convex bounds for linear quadratic control policy synthesis NeurIPS 2018 Learning with Latent Language NAACL 2018 Safe Model-based Reinforcement Learning with Stability Guarantees NeurIPS 2017 Stability of Controllers for Gaussian Process Forward Models ICML 2016 Interactive Control of Diverse Complex Characters with Neural Networks NeurIPS 2015 Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems AISTATS 2015 Variational Policy Search via Trajectory Optimization NeurIPS 2013 A Bayesian Approach for Policy Learning from Trajectory Preference Queries NeurIPS 2012 Model-Free Monte Carlo-like Policy Evaluation AISTATS 2010