Robotics

ISAACS: Iterative Soft Adversarial Actor-Critic for Safety L4DC 2023 Iterative Vision-and-Language Navigation CVPR 2023 Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control NeurIPS 2023 Krylov–Bellman boosting: Super-linear policy evaluation in general state spaces AISTATS 2023 LapGym - An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery JMLR 2023 Latent exploration for Reinforcement Learning NeurIPS 2023 Layered State Discovery for Incremental Autonomous Exploration ICML 2023 Layout-Aware Dreamer for Embodied Visual Referring Expression Grounding AAAI 2023 Learning and Adapting Agile Locomotion Skills by Transferring Experience RSS 2023 Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning NeurIPS 2023 Learning Compositional Tasks from Language Instructions AAAI 2023 Learning Control by Iterative Inversion ICML 2023 Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees AAAI 2023 Learning Efficient Abstract Planning Models that Choose What to Predict CoRL 2023 Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware RSS 2023 Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation ICCV 2023 Learning-Free Grasping of Unknown Objects Using Hidden Superquadrics RSS 2023 Learning Generalizable Agents via Saliency-guided Features Decorrelation NeurIPS 2023 Learning Generalizable Manipulation Policies with Object-Centric 3D Representations CoRL 2023 Learning Human Contribution Preferences in Collaborative Human-Robot Tasks CoRL 2023 Learning Human Dynamics in Autonomous Driving Scenarios ICCV 2023 Learning Human-to-Robot Handovers From Point Clouds CVPR 2023 Learning Locomotion Skills from MPC in Sensor Space L4DC 2023 Learning Lyapunov-Stable Polynomial Dynamical Systems Through Imitation CoRL 2023 Learning Reusable Manipulation Strategies CoRL 2023