Imitating Cost-Constrained Behaviors in Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Shao, Qian, Varakantham, Pradeep, Cheng, Shih-Fen |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning
by: Hoang, Huy, et al.
Published: (2023)
by: Hoang, Huy, et al.
Published: (2023)
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning
by: Lu, Yuxiao, et al.
Published: (2023)
by: Lu, Yuxiao, et al.
Published: (2023)
SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning
by: Hoang, Huy, et al.
Published: (2024)
by: Hoang, Huy, et al.
Published: (2024)
On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression
by: Ge, Zichang, et al.
Published: (2025)
by: Ge, Zichang, 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)
Offline Safe Reinforcement Learning Using Trajectory Classification
by: Gong, Ze, et al.
Published: (2024)
by: Gong, Ze, et al.
Published: (2024)
Regret-Based Defense in Adversarial Reinforcement Learning
by: Belaire, Roman, et al.
Published: (2023)
by: Belaire, Roman, et al.
Published: (2023)
Enhancing the Hierarchical Environment Design via Generative Trajectory Modeling
by: Li, Dexun, et al.
Published: (2023)
by: Li, Dexun, et al.
Published: (2023)
UNIQ: Offline Inverse Q-learning for Avoiding Undesirable Demonstrations
by: Hoang, Huy, et al.
Published: (2024)
by: Hoang, Huy, et al.
Published: (2024)
On Minimizing Adversarial Counterfactual Error in Adversarial RL
by: Belaire, Roman, et al.
Published: (2024)
by: Belaire, Roman, et al.
Published: (2024)
Automatic LLM Red Teaming
by: Belaire, Roman, et al.
Published: (2025)
by: Belaire, Roman, et al.
Published: (2025)
Imitation Bootstrapped Reinforcement Learning
by: Hu, Hengyuan, et al.
Published: (2023)
by: Hu, Hengyuan, et al.
Published: (2023)
On Discovering Algorithms for Adversarial Imitation Learning
by: Chirra, Shashank Reddy, et al.
Published: (2025)
by: Chirra, Shashank Reddy, et al.
Published: (2025)
IRL for Restless Multi-Armed Bandits with Applications in Maternal and Child Health
by: Jain, Gauri, et al.
Published: (2024)
by: Jain, Gauri, et al.
Published: (2024)
RILe: Reinforced Imitation Learning
by: Albaba, Mert, et al.
Published: (2024)
by: Albaba, Mert, et al.
Published: (2024)
Reinforcement Learning via Implicit Imitation Guidance
by: Dong, Perry, et al.
Published: (2025)
by: Dong, Perry, et al.
Published: (2025)
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
by: Lin, Qian, et al.
Published: (2024)
by: Lin, Qian, et al.
Published: (2024)
Solving Richly Constrained Reinforcement Learning through State Augmentation and Reward Penalties
by: Jiang, Hao, et al.
Published: (2023)
by: Jiang, Hao, et al.
Published: (2023)
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
by: Xu, Haoran, et al.
Published: (2025)
by: Xu, Haoran, et al.
Published: (2025)
Blending Imitation and Reinforcement Learning for Robust Policy Improvement
by: Liu, Xuefeng, et al.
Published: (2023)
by: Liu, Xuefeng, et al.
Published: (2023)
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
by: Yu, Xingrui, et al.
Published: (2024)
by: Yu, Xingrui, et al.
Published: (2024)
Fast Value Tracking for Deep Reinforcement Learning
by: Shih, Frank, et al.
Published: (2024)
by: Shih, Frank, et al.
Published: (2024)
IDIL: Imitation Learning of Intent-Driven Expert Behavior
by: Seo, Sangwon, et al.
Published: (2024)
by: Seo, Sangwon, et al.
Published: (2024)
COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy
by: Wang, Lu, et al.
Published: (2024)
by: Wang, Lu, et al.
Published: (2024)
On Generalization Across Environments In Multi-Objective Reinforcement Learning
by: Teoh, Jayden, et al.
Published: (2025)
by: Teoh, Jayden, et al.
Published: (2025)
Causal Imitation Learning under Expert-Observable and Expert-Unobservable Confounding
by: Shao, Daqian, et al.
Published: (2025)
by: Shao, Daqian, et al.
Published: (2025)
Safety through feedback in Constrained RL
by: Chirra, Shashank Reddy, et al.
Published: (2024)
by: Chirra, Shashank Reddy, et al.
Published: (2024)
Offline Imitation Learning with Model-based Reverse Augmentation
by: Shao, Jie-Jing, et al.
Published: (2024)
by: Shao, Jie-Jing, et al.
Published: (2024)
SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring
by: Huang, Kaichen, et al.
Published: (2024)
by: Huang, Kaichen, et al.
Published: (2024)
Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action Ranker
by: Fan, Jiangdong, et al.
Published: (2024)
by: Fan, Jiangdong, et al.
Published: (2024)
Probabilistic Constrained Reinforcement Learning with Formal Interpretability
by: Wang, Yanran, et al.
Published: (2023)
by: Wang, Yanran, et al.
Published: (2023)
Continual Learning as Computationally Constrained Reinforcement Learning
by: Kumar, Saurabh, et al.
Published: (2023)
by: Kumar, Saurabh, et al.
Published: (2023)
Robotic Constrained Imitation Learning for the Peg Transfer Task in Fundamentals of Laparoscopic Surgery
by: Kawaharazuka, Kento, et al.
Published: (2024)
by: Kawaharazuka, Kento, et al.
Published: (2024)
State-Constrained Offline Reinforcement Learning
by: Hepburn, Charles A., et al.
Published: (2024)
by: Hepburn, Charles A., et al.
Published: (2024)
Locally Constrained Representations in Reinforcement Learning
by: Nath, Somjit, et al.
Published: (2022)
by: Nath, Somjit, et al.
Published: (2022)
DIDA: Denoised Imitation Learning based on Domain Adaptation
by: Huang, Kaichen, et al.
Published: (2024)
by: Huang, Kaichen, et al.
Published: (2024)
Physics-informed Imitative Reinforcement Learning for Real-world Driving
by: Zhou, Hang, et al.
Published: (2024)
by: Zhou, Hang, et al.
Published: (2024)
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
by: Sikchi, Harshit, et al.
Published: (2023)
by: Sikchi, Harshit, et al.
Published: (2023)
TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control
by: Zhuang, Zifeng, et al.
Published: (2025)
by: Zhuang, Zifeng, et al.
Published: (2025)
Learning for Long-Horizon Planning via Neuro-Symbolic Abductive Imitation
by: Shao, Jie-Jing, et al.
Published: (2024)
by: Shao, Jie-Jing, et al.
Published: (2024)
Similar Items
-
Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning
by: Hoang, Huy, et al.
Published: (2023) -
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning
by: Lu, Yuxiao, et al.
Published: (2023) -
SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning
by: Hoang, Huy, et al.
Published: (2024) -
On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression
by: Ge, Zichang, 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)