Robotics

Learning Simultaneous Navigation and Construction in Grid Worlds ICLR 2023 Learning Soft Constraints From Constrained Expert Demonstrations ICLR 2023 Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning ACL 2023 Learning Temporally AbstractWorld Models without Online Experimentation ICML 2023 Learning to Act for Perceiving in Partially Unknown Environments IJCAI 2023 Learning to Design and Use Tools for Robotic Manipulation CoRL 2023 Learning to Discover Skills through Guidance NeurIPS 2023 Learning to Initiate and Reason in Event-Driven Cascading Processes ICML 2023 Learning to Self-Reconfigure for Freeform Modular Robots via Altruism Proximal Policy Optimization IJCAI 2023 Learning World Models with Identifiable Factorization NeurIPS 2023 lilGym: Natural Language Visual Reasoning with Reinforcement Learning ACL 2023 Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy ICML 2023 LIV: Language-Image Representations and Rewards for Robotic Control ICML 2023 Locomotion-Action-Manipulation: Synthesizing Human-Scene Interactions in Complex 3D Environments ICCV 2023 Low Emission Building Control with Zero-Shot Reinforcement Learning AAAI 2023 Marginalized Importance Sampling for Off-Environment Policy Evaluation CoRL 2023 Masked Trajectory Models for Prediction, Representation, and Control ICML 2023 Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels ICML 2023 Maximum State Entropy Exploration using Predecessor and Successor Representations NeurIPS 2023 Measuring Acoustics with Collaborative Multiple Agents IJCAI 2023 Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding CVPR 2023 Meta-learning Parameterized Skills ICML 2023 Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning AAAI 2023 Metric-Free Exploration for Topological Mapping by Task and Motion Imitation in Feature Space RSS 2023 Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning AAAI 2023