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Robotics

2069 directly classified papers

Papers per year

Papers

Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training NIPS 2024
Advancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model Learning RSS 2024
AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries RSS 2024
Dynamics harmonic analysis of robotic systems: Application in data-driven Koopman modelling L4DC 2024
Offline Imitation Learning Through Graph Search and Retrieval RSS 2024
Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems AISTATS 2024
Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction AAAI 2024
Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation RSS 2024
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors NIPS 2024
Federated Ensemble-Directed Offline Reinforcement Learning NIPS 2024
MeMo: Meaningful, Modular Controllers via Noise Injection NIPS 2024
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion NIPS 2024
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning AAAI 2024
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers NIPS 2024
Timing as an Action: Learning When to Observe and Act AISTATS 2024
Imitation Bootstrapped Reinforcement Learning RSS 2024
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization AAAI 2024
CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments AAAI 2024
Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting AAAI 2024
RT-H: Action Hierarchies using Language RSS 2024
Learning Safety Constraints from Demonstrations with Unknown Rewards AISTATS 2024
What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction AAAI 2024
SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning AAAI 2024
PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning AAAI 2024
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation NIPS 2024