Symmetry-Guided Multi-Agent Inverse Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Tian, Yongkai, Qi, Yirong, Yu, Xin, Wu, Wenjun, Luo, Jie |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
by: Yu, Xin, et al.
Published: (2023)
by: Yu, Xin, et al.
Published: (2023)
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
by: Yu, Xin, et al.
Published: (2023)
by: Yu, Xin, et al.
Published: (2023)
Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks
by: Feng, Pu, et al.
Published: (2024)
by: Feng, Pu, et al.
Published: (2024)
Sample-Efficient Reinforcement Learning with Symmetry-Guided Demonstrations for Robotic Manipulation
by: Enayati, Amir M. Soufi, et al.
Published: (2023)
by: Enayati, Amir M. Soufi, et al.
Published: (2023)
Symmetries-enhanced Multi-Agent Reinforcement Learning
by: Bousias, Nikolaos, et al.
Published: (2025)
by: Bousias, Nikolaos, et al.
Published: (2025)
Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network
by: Xin, Guipeng, et al.
Published: (2024)
by: Xin, Guipeng, et al.
Published: (2024)
Guided Reinforcement Learning for Robust Multi-Contact Loco-Manipulation
by: Sleiman, Jean-Pierre, et al.
Published: (2024)
by: Sleiman, Jean-Pierre, et al.
Published: (2024)
Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds
by: Chandra, Rohan, et al.
Published: (2024)
by: Chandra, Rohan, et al.
Published: (2024)
Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding
by: Feng, Pu, et al.
Published: (2025)
by: Feng, Pu, et al.
Published: (2025)
Path Planning through Multi-Agent Reinforcement Learning in Dynamic Environments
by: De Maeyer, Jonas, et al.
Published: (2025)
by: De Maeyer, Jonas, et al.
Published: (2025)
BAMAX: Backtrack Assisted Multi-Agent Exploration using Reinforcement Learning
by: Kalra, Geetansh, et al.
Published: (2024)
by: Kalra, Geetansh, et al.
Published: (2024)
Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents
by: Cai, Shaofei, et al.
Published: (2025)
by: Cai, Shaofei, et al.
Published: (2025)
LAMARL: LLM-Aided Multi-Agent Reinforcement Learning for Cooperative Policy Generation
by: Zhu, Guobin, et al.
Published: (2025)
by: Zhu, Guobin, et al.
Published: (2025)
Co-jump: Cooperative Jumping with Quadrupedal Robots via Multi-Agent Reinforcement Learning
by: Dong, Shihao, et al.
Published: (2026)
by: Dong, Shihao, et al.
Published: (2026)
Cooperation and Fairness in Multi-Agent Reinforcement Learning
by: Aloor, Jasmine Jerry, et al.
Published: (2024)
by: Aloor, Jasmine Jerry, et al.
Published: (2024)
MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion
by: Liu, Qi, et al.
Published: (2025)
by: Liu, Qi, et al.
Published: (2025)
A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning
by: Cederle, Matteo, et al.
Published: (2024)
by: Cederle, Matteo, et al.
Published: (2024)
Multi-Agent Inverse Q-Learning from Demonstrations
by: Haynam, Nathaniel, et al.
Published: (2025)
by: Haynam, Nathaniel, et al.
Published: (2025)
Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning
by: Narendra, Aditya, et al.
Published: (2026)
by: Narendra, Aditya, et al.
Published: (2026)
Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning
by: Weiwei, Liu, et al.
Published: (2024)
by: Weiwei, Liu, et al.
Published: (2024)
Integrating Reinforcement Learning and AI Agents for Adaptive Robotic Interaction and Assistance in Dementia Care
by: Yuan, Fengpei, et al.
Published: (2025)
by: Yuan, Fengpei, et al.
Published: (2025)
Accelerating Robotic Reinforcement Learning with Agent Guidance
by: Chen, Haojun, et al.
Published: (2026)
by: Chen, Haojun, et al.
Published: (2026)
Multi-Goal Dexterous Hand Manipulation using Probabilistic Model-based Reinforcement Learning
by: Jiang, Yingzhuo, et al.
Published: (2025)
by: Jiang, Yingzhuo, et al.
Published: (2025)
Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning
by: Luo, Jianlan, et al.
Published: (2024)
by: Luo, Jianlan, et al.
Published: (2024)
Symmetry-Guided Memory Augmentation for Efficient Locomotion Learning
by: Bao, Kaixi, et al.
Published: (2025)
by: Bao, Kaixi, et al.
Published: (2025)
SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding
by: Liao, Shuhao, et al.
Published: (2025)
by: Liao, Shuhao, et al.
Published: (2025)
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
by: Zhang, Ruiqi, et al.
Published: (2024)
by: Zhang, Ruiqi, et al.
Published: (2024)
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
by: Liu, Tenglong, et al.
Published: (2024)
by: Liu, Tenglong, et al.
Published: (2024)
Multi-Robot Path Planning Combining Heuristics and Multi-Agent Reinforcement Learning
by: Peng, Shaoming
Published: (2023)
by: Peng, Shaoming
Published: (2023)
Multi-Gait Learning for Humanoid Robots Using Reinforcement Learning with Selective Adversarial Motion Prior
by: Wu, Yuanye, et al.
Published: (2026)
by: Wu, Yuanye, et al.
Published: (2026)
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
by: Yu, Peihong, et al.
Published: (2024)
by: Yu, Peihong, et al.
Published: (2024)
Reinforcement Learning Enabled Adaptive Multi-Task Control for Bipedal Soccer Robots
by: Zhang, Yulai, et al.
Published: (2026)
by: Zhang, Yulai, et al.
Published: (2026)
Application of LLM Guided Reinforcement Learning in Formation Control with Collision Avoidance
by: Yao, Chenhao, et al.
Published: (2025)
by: Yao, Chenhao, et al.
Published: (2025)
LineRides: Line-Guided Reinforcement Learning for Bicycle Robot Stunts
by: Rho, Seungeun, et al.
Published: (2026)
by: Rho, Seungeun, et al.
Published: (2026)
RLIF: Interactive Imitation Learning as Reinforcement Learning
by: Luo, Jianlan, et al.
Published: (2023)
by: Luo, Jianlan, et al.
Published: (2023)
Network Distributed Multi-Agent Reinforcement Learning for Consensus Control of Quadcopters
by: Mahran, Youssef, et al.
Published: (2026)
by: Mahran, Youssef, et al.
Published: (2026)
Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method in Multi-Agent Deep Reinforcement Learning
by: Bi, Xiaojun, et al.
Published: (2024)
by: Bi, Xiaojun, et al.
Published: (2024)
Offline Reinforcement Learning with Discrete Diffusion Skills
by: Qiao, RuiXi, et al.
Published: (2025)
by: Qiao, RuiXi, et al.
Published: (2025)
Inverse Kinematics for Neuro-Robotic Grasping with Humanoid Embodied Agents
by: Habekost, Jan-Gerrit, et al.
Published: (2024)
by: Habekost, Jan-Gerrit, et al.
Published: (2024)
Multi-Timescale Hierarchical Reinforcement Learning for Unified Behavior and Control of Autonomous Driving
by: Jin, Guizhe, et al.
Published: (2025)
by: Jin, Guizhe, et al.
Published: (2025)
Similar Items
-
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
by: Yu, Xin, et al.
Published: (2023) -
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
by: Yu, Xin, et al.
Published: (2023) -
Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks
by: Feng, Pu, et al.
Published: (2024) -
Sample-Efficient Reinforcement Learning with Symmetry-Guided Demonstrations for Robotic Manipulation
by: Enayati, Amir M. Soufi, et al.
Published: (2023) -
Symmetries-enhanced Multi-Agent Reinforcement Learning
by: Bousias, Nikolaos, et al.
Published: (2025)