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Robotics

2,420 papers

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Papers

Adaptation Augmented Model-based Policy Optimization JMLR 2023 AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners ICML 2023 Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics ICML 2023 Adaptive Online Replanning with Diffusion Models NeurIPS 2023 Adaptive Tracking Control of Dielectric Elastomer Soft Actuators with Viscoelastic Hysteresis Compensation RSS 2023 AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer CoRL 2023 A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots CoRL 2023 Adjustable Robust Reinforcement Learning for Online 3D Bin Packing NeurIPS 2023 A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept AAAI 2023 Affordances From Human Videos as a Versatile Representation for Robotics CVPR 2023 A Game of Bundle Adjustment - Learning Efficient Convergence ICCV 2023 Agile Catching with Whole-Body MPC and Blackbox Policy Learning L4DC 2023 A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning IJCAI 2023 A Machine with Short-Term, Episodic, and Semantic Memory Systems AAAI 2023 A New Path: Scaling Vision-and-Language Navigation With Synthetic Instructions and Imitation Learning CVPR 2023 An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning ICML 2023 AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System RSS 2023 A Partially-Supervised Reinforcement Learning Framework for Visual Active Search NeurIPS 2023 A Policy Optimization Method Towards Optimal-time Stability CoRL 2023 Arbitrarily Scalable Environment Generators via Neural Cellular Automata NeurIPS 2023 A Reinforcement Learning Framework for Dynamic Mediation Analysis ICML 2023 A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control L4DC 2023 ARNOLD: A Benchmark for Language-Grounded Task Learning with Continuous States in Realistic 3D Scenes ICCV 2023 A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs ICML 2023 A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning NeurIPS 2023