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Robotics

920 directly classified papers

Papers per year

Papers

MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control NIPS 2022

DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body NIPS 2022

Deep Surrogate Assisted Generation of Environments NIPS 2022

SOON: Scenario Oriented Object Navigation With Graph-Based Exploration CVPR 2021

Visual Navigation With Spatial Attention CVPR 2021

Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation CVPR 2021

Pushing It Out of the Way: Interactive Visual Navigation CVPR 2021

Safe Pontryagin Differentiable Programming NIPS 2021

On Joint Learning for Solving Placement and Routing in Chip Design NIPS 2021

Safe Policy Optimization with Local Generalized Linear Function Approximations NIPS 2021

Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives NIPS 2021

Revisiting 3D Object Detection From an Egocentric Perspective NIPS 2021

Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings NIPS 2021

Deep Reinforcement Learning for Multi-contact Motion Planning of Hexapod Robots IJCAI 2021

Inferring Time-delayed Causal Relations in POMDPs from the Principle of Independence of Cause and Mechanism IJCAI 2021

Lifelong Multi-Agent Path Finding in Large-Scale Warehouses AAAI 2021

GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling AAAI 2021

Perception Beyond Sensors Under Uncertainty AAAI 2021

Robotic Manipulation with Reinforcement Learning, State Representation Learning, and Imitation Learning (Student Abstract) AAAI 2021

Learning Task Informed Abstractions ICML 2021

Compositional Networks Enable Systematic Generalization for Grounded Language Understanding EMNLP 2021

Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments EMNLP 2021

Hierarchically and Cooperatively Learning Traffic Signal Control AAAI 2021

Online 3D Bin Packing with Constrained Deep Reinforcement Learning AAAI 2021

Cautious Bayesian Optimization for Efficient and Scalable Policy Search L4DC 2021