Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Kuang-Da, Wang, Wei-Yao, Hsieh, Ping-Chun, Peng, Wen-Chih |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Imitation Learning of Correlated Policies in Stackelberg Games
by: Wang, Kuang-Da, et al.
Published: (2025)
by: Wang, Kuang-Da, et al.
Published: (2025)
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
by: Wu, Hong-Wei, et al.
Published: (2024)
by: Wu, Hong-Wei, et al.
Published: (2024)
Diffusion-Reward Adversarial Imitation Learning
by: Lai, Chun-Mao, et al.
Published: (2024)
by: Lai, Chun-Mao, et al.
Published: (2024)
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching
by: Yan, Kai, et al.
Published: (2023)
by: Yan, Kai, et al.
Published: (2023)
Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset
by: Wang, Wei-Yao, et al.
Published: (2023)
by: Wang, Wei-Yao, et al.
Published: (2023)
Root Cause Analysis In Microservice Using Neural Granger Causal Discovery
by: Lin, Cheng-Ming, et al.
Published: (2024)
by: Lin, Cheng-Ming, et al.
Published: (2024)
Align Your Intents: Offline Imitation Learning via Optimal Transport
by: Bobrin, Maksim, et al.
Published: (2024)
by: Bobrin, Maksim, et al.
Published: (2024)
DITTO: Offline Imitation Learning with World Models
by: DeMoss, Branton, et al.
Published: (2023)
by: DeMoss, Branton, et al.
Published: (2023)
A Survey on Self-Supervised Learning for Non-Sequential Tabular Data
by: Wang, Wei-Yao, et al.
Published: (2024)
by: Wang, Wei-Yao, et al.
Published: (2024)
Learning Human-Like Badminton Skills for Humanoid Robots
by: Chen, Yeke, et al.
Published: (2026)
by: Chen, Yeke, et al.
Published: (2026)
Offline Imitation Learning with Model-based Reverse Augmentation
by: Shao, Jie-Jing, et al.
Published: (2024)
by: Shao, Jie-Jing, et al.
Published: (2024)
How to Leverage Diverse Demonstrations in Offline Imitation Learning
by: Yue, Sheng, et al.
Published: (2024)
by: Yue, Sheng, et al.
Published: (2024)
When Dynamics Shift, Robust Task Inference Wins: Offline Imitation Learning with Behavior Foundation Models Revisited
by: Agrawal, Rishabh, et al.
Published: (2026)
by: Agrawal, Rishabh, et al.
Published: (2026)
Counterfactual Explanation-Based Badminton Motion Guidance Generation Using Wearable Sensors
by: Seong, Minwoo, et al.
Published: (2024)
by: Seong, Minwoo, et al.
Published: (2024)
Offline Diversity Maximization Under Imitation Constraints
by: Vlastelica, Marin, et al.
Published: (2023)
by: Vlastelica, Marin, et al.
Published: (2023)
ShuttleEnv: An Interactive Data-Driven RL Environment for Badminton Strategy Modeling
by: Li, Ang, et al.
Published: (2026)
by: Li, Ang, et al.
Published: (2026)
OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning
by: Yue, Sheng, et al.
Published: (2024)
by: Yue, Sheng, et al.
Published: (2024)
Balance Equation-based Distributionally Robust Offline Imitation Learning
by: Agrawal, Rishabh, et al.
Published: (2025)
by: Agrawal, Rishabh, et al.
Published: (2025)
SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning
by: Hoang, Huy, et al.
Published: (2024)
by: Hoang, Huy, et al.
Published: (2024)
Offline Behavior Distillation
by: Lei, Shiye, et al.
Published: (2024)
by: Lei, Shiye, et al.
Published: (2024)
Offline Imitation Learning Through Graph Search and Retrieval
by: Yin, Zhao-Heng, et al.
Published: (2024)
by: Yin, Zhao-Heng, et al.
Published: (2024)
SEABO: A Simple Search-Based Method for Offline Imitation Learning
by: Lyu, Jiafei, et al.
Published: (2024)
by: Lyu, Jiafei, et al.
Published: (2024)
Experiential Reinforcement Learning
by: Shi, Taiwei, et al.
Published: (2026)
by: Shi, Taiwei, et al.
Published: (2026)
Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning
by: Huang, Kevin, et al.
Published: (2025)
by: Huang, Kevin, et al.
Published: (2025)
In-Context Compositional Q-Learning for Offline Reinforcement Learning
by: Xu, Qiushui, et al.
Published: (2025)
by: Xu, Qiushui, et al.
Published: (2025)
Offline Behavioral Data Selection
by: Lei, Shiye, et al.
Published: (2025)
by: Lei, Shiye, et al.
Published: (2025)
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning
by: Agrawal, Rishabh, et al.
Published: (2024)
by: Agrawal, Rishabh, et al.
Published: (2024)
Adversarial Imitation Learning via Boosting
by: Chang, Jonathan D., et al.
Published: (2024)
by: Chang, Jonathan D., et al.
Published: (2024)
TimeDRL: Disentangled Representation Learning for Multivariate Time-Series
by: Chang, Ching, et al.
Published: (2023)
by: Chang, Ching, et al.
Published: (2023)
Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series
by: Chang, Ching, et al.
Published: (2024)
by: Chang, Ching, et al.
Published: (2024)
Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior
by: Yang, Ruihan, et al.
Published: (2023)
by: Yang, Ruihan, et al.
Published: (2023)
PROF: An LLM-based Reward Code Preference Optimization Framework for Offline Imitation Learning
by: Sun, Shengjie, et al.
Published: (2025)
by: Sun, Shengjie, et al.
Published: (2025)
SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories
by: Burnwal, Returaj, et al.
Published: (2025)
by: Burnwal, Returaj, et al.
Published: (2025)
Learning What to Do and What Not To Do: Offline Imitation from Expert and Undesirable Demonstrations
by: Hoang, Huy, et al.
Published: (2025)
by: Hoang, Huy, et al.
Published: (2025)
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints
by: Kolev, Pavel, et al.
Published: (2025)
by: Kolev, Pavel, et al.
Published: (2025)
A Dual Approach to Imitation Learning from Observations with Offline Datasets
by: Sikchi, Harshit, et al.
Published: (2024)
by: Sikchi, Harshit, et al.
Published: (2024)
Learning from Sparse Offline Datasets via Conservative Density Estimation
by: Cen, Zhepeng, et al.
Published: (2024)
by: Cen, Zhepeng, et al.
Published: (2024)
DDOT: A Derivative-directed Dual-decoder Ordinary Differential Equation Transformer for Dynamic System Modeling
by: Chang, Yang, et al.
Published: (2025)
by: Chang, Yang, et al.
Published: (2025)
Imitating Cost-Constrained Behaviors in Reinforcement Learning
by: Shao, Qian, et al.
Published: (2024)
by: Shao, Qian, et al.
Published: (2024)
Integrating Learning-Based Manipulation and Physics-Based Locomotion for Whole-Body Badminton Robot Control
by: Wang, Haochen, et al.
Published: (2025)
by: Wang, Haochen, et al.
Published: (2025)
Similar Items
-
Imitation Learning of Correlated Policies in Stackelberg Games
by: Wang, Kuang-Da, et al.
Published: (2025) -
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
by: Wu, Hong-Wei, et al.
Published: (2024) -
Diffusion-Reward Adversarial Imitation Learning
by: Lai, Chun-Mao, et al.
Published: (2024) -
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching
by: Yan, Kai, et al.
Published: (2023) -
Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset
by: Wang, Wei-Yao, et al.
Published: (2023)