Saved in:
| Main Authors: | Ju, Zhaoxun, Yang, Chao, Wang, Hongbo, Qiao, Yu, Sun, Fuchun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.17511 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Atomic-Probe Governance for Skill Updates in Compositional Robot Policies
by: Qin, Xue, et al.
Published: (2026)
by: Qin, Xue, et al.
Published: (2026)
Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour
by: Howard, Rhys, et al.
Published: (2023)
by: Howard, Rhys, et al.
Published: (2023)
URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model
by: Li, Zhe, et al.
Published: (2025)
by: Li, Zhe, et al.
Published: (2025)
ASkDAgger: Active Skill-level Data Aggregation for Interactive Imitation Learning
by: Luijkx, Jelle, et al.
Published: (2025)
by: Luijkx, Jelle, et al.
Published: (2025)
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent
by: Güitta-López, Lucía, et al.
Published: (2025)
by: Güitta-López, Lucía, et al.
Published: (2025)
Predictive Traffic Rule Compliance using Reinforcement Learning
by: Huang, Yanliang, et al.
Published: (2025)
by: Huang, Yanliang, et al.
Published: (2025)
Conservative Bias in Multi-Teacher Learning: Why Agents Prefer Low-Reward Advisors
by: Mesto, Maher, et al.
Published: (2025)
by: Mesto, Maher, et al.
Published: (2025)
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour
by: Howard, Rhys, et al.
Published: (2023)
by: Howard, Rhys, et al.
Published: (2023)
SaiVLA-0: Cerebrum--Pons--Cerebellum Tripartite Architecture for Compute-Aware Vision-Language-Action
by: Shi, Xiang, et al.
Published: (2026)
by: Shi, Xiang, et al.
Published: (2026)
Robo-CSK-Organizer: Commonsense Knowledge to Organize Detected Objects for Multipurpose Robots
by: Hidalgo, Rafael, et al.
Published: (2024)
by: Hidalgo, Rafael, et al.
Published: (2024)
FCBV-Net: Category-Level Robotic Garment Smoothing via Feature-Conditioned Bimanual Value Prediction
by: Daba, Mohammed, et al.
Published: (2025)
by: Daba, Mohammed, et al.
Published: (2025)
Autonomous Decision Making for UAV Cooperative Pursuit-Evasion Game with Reinforcement Learning
by: Zhao, Yang, et al.
Published: (2024)
by: Zhao, Yang, et al.
Published: (2024)
Energy-Efficient Quadruped Locomotion with Compliant Feet
by: Pal, Pramod, et al.
Published: (2026)
by: Pal, Pramod, et al.
Published: (2026)
MTDrive: Multi-turn Interactive Reinforcement Learning for Autonomous Driving
by: Li, Xidong, et al.
Published: (2026)
by: Li, Xidong, et al.
Published: (2026)
Sim-to-reality adaptation for Deep Reinforcement Learning applied to an underwater docking application
by: Chaarani, Alaaeddine, et al.
Published: (2026)
by: Chaarani, Alaaeddine, et al.
Published: (2026)
Improving Value Estimation Critically Enhances Vanilla Policy Gradient
by: Wang, Tao, et al.
Published: (2025)
by: Wang, Tao, et al.
Published: (2025)
Deep Reinforcement Learning for Adverse Garage Scenario Generation
by: Li, Kai
Published: (2024)
by: Li, Kai
Published: (2024)
Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms
by: Alhakami, Mohannad, et al.
Published: (2024)
by: Alhakami, Mohannad, et al.
Published: (2024)
D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning
by: Wang, Caroline, et al.
Published: (2022)
by: Wang, Caroline, et al.
Published: (2022)
Decentralized Aerial Manipulation of a Cable-Suspended Load using Multi-Agent Reinforcement Learning
by: Zeng, Jack, et al.
Published: (2025)
by: Zeng, Jack, et al.
Published: (2025)
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
by: Wang, Zizhao, et al.
Published: (2024)
by: Wang, Zizhao, et al.
Published: (2024)
CUPID: Curating Data your Robot Loves with Influence Functions
by: Agia, Christopher, et al.
Published: (2025)
by: Agia, Christopher, et al.
Published: (2025)
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing
by: Ai, Bo, et al.
Published: (2024)
by: Ai, Bo, et al.
Published: (2024)
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis
by: Kirk, James R., et al.
Published: (2023)
by: Kirk, James R., et al.
Published: (2023)
Cortex 2.0: Grounding World Models in Real-World Industrial Deployment
by: Aida, Adriana, et al.
Published: (2026)
by: Aida, Adriana, et al.
Published: (2026)
DSSE: a drone swarm search environment
by: Castanares, Manuel, et al.
Published: (2023)
by: Castanares, Manuel, et al.
Published: (2023)
A Framework for Neurosymbolic Robot Action Planning using Large Language Models
by: Capitanelli, Alessio, et al.
Published: (2023)
by: Capitanelli, Alessio, et al.
Published: (2023)
SPACeR: Self-Play Anchoring with Centralized Reference Models
by: Chang, Wei-Jer, et al.
Published: (2025)
by: Chang, Wei-Jer, et al.
Published: (2025)
When Does Adaptive Guidance Help? Belief-Aware Privileged Distillation for Autonomous Driving Under Partial Observability
by: Haklidir, Mehmet
Published: (2026)
by: Haklidir, Mehmet
Published: (2026)
MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention
by: Chen, Yuxin, et al.
Published: (2024)
by: Chen, Yuxin, et al.
Published: (2024)
The Shortcomings of Force-from-Motion in Robot Learning
by: Aljalbout, Elie, et al.
Published: (2024)
by: Aljalbout, Elie, et al.
Published: (2024)
Extrinsicaly Rewarded Soft Q Imitation Learning with Discriminator
by: Furuyama, Ryoma, et al.
Published: (2024)
by: Furuyama, Ryoma, et al.
Published: (2024)
Learning to Walk in Costume: Adversarial Motion Priors for Aesthetically Constrained Humanoids
by: Alvarez, Arturo Flores, et al.
Published: (2025)
by: Alvarez, Arturo Flores, et al.
Published: (2025)
Bimanual Robot Manipulation via Multi-Agent In-Context Learning
by: Palma, Alessio, et al.
Published: (2026)
by: Palma, Alessio, et al.
Published: (2026)
LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios
by: Yao, Huaiyuan, et al.
Published: (2025)
by: Yao, Huaiyuan, et al.
Published: (2025)
Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach
by: Elliker, Clément, et al.
Published: (2025)
by: Elliker, Clément, et al.
Published: (2025)
Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy Optimization
by: Dai, Yanning, et al.
Published: (2026)
by: Dai, Yanning, et al.
Published: (2026)
nuScenes Knowledge Graph -- A comprehensive semantic representation of traffic scenes for trajectory prediction
by: Mlodzian, Leon, et al.
Published: (2023)
by: Mlodzian, Leon, et al.
Published: (2023)
The Reality Gap in Robotics: Challenges, Solutions, and Best Practices
by: Aljalbout, Elie, et al.
Published: (2025)
by: Aljalbout, Elie, et al.
Published: (2025)
The State of Robot Motion Generation
by: Bekris, Kostas E., et al.
Published: (2024)
by: Bekris, Kostas E., et al.
Published: (2024)
Similar Items
-
Atomic-Probe Governance for Skill Updates in Compositional Robot Policies
by: Qin, Xue, et al.
Published: (2026) -
Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour
by: Howard, Rhys, et al.
Published: (2023) -
URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model
by: Li, Zhe, et al.
Published: (2025) -
ASkDAgger: Active Skill-level Data Aggregation for Interactive Imitation Learning
by: Luijkx, Jelle, et al.
Published: (2025) -
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent
by: Güitta-López, Lucía, et al.
Published: (2025)