Cover Image

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Yihong, Wang, Yixuan, Shi, Yuanyuan, Xu, Pan, Liu, Anqi
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning
by: Yang, Yu, et al.
Published: (2026)

MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning
by: Guo, Yihong, et al.
Published: (2025)

Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning
by: Wang, Ruhan, et al.
Published: (2024)

Localized Dynamics-Aware Domain Adaption for Off-Dynamics Offline Reinforcement Learning
by: Xia, Zhangjie, et al.
Published: (2026)

Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction
by: He, Yiting, et al.
Published: (2025)

Diffusion-Reward Adversarial Imitation Learning
by: Lai, Chun-Mao, et al.
Published: (2024)

Cross-Domain Imitation Learning via Optimal Transport
by: Fickinger, Arnaud, et al.
Published: (2021)

TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control
by: Zhuang, Zifeng, et al.
Published: (2025)

RILe: Reinforced Imitation Learning
by: Albaba, Mert, et al.
Published: (2024)

Adapting Critic Match Loss Landscape Visualization to Off-policy Reinforcement Learning
by: Liu, Jingyi, et al.
Published: (2026)

Physics-informed Imitative Reinforcement Learning for Real-world Driving
by: Zhou, Hang, et al.
Published: (2024)

Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning
by: Huang, Kevin, et al.
Published: (2025)

DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
by: Wan, Weikang, et al.
Published: (2024)

Reward-Punishment Reinforcement Learning with Maximum Entropy
by: Wang, Jiexin, et al.
Published: (2024)

Constraints as Rewards: Reinforcement Learning for Robots without Reward Functions
by: Ishihara, Yu, et al.
Published: (2025)

TADPO: Reinforcement Learning Goes Off-road
by: Wu, Zhouchonghao, et al.
Published: (2026)

Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
by: Sikchi, Harshit, et al.
Published: (2023)

Residual Reward Models for Preference-based Reinforcement Learning
by: Cao, Chenyang, et al.
Published: (2025)

Generalization Capability for Imitation Learning
by: Wang, Yixiao
Published: (2025)

DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
by: Lee, Vint, et al.
Published: (2023)

PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers
by: Xu, Michael, et al.
Published: (2025)

Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization
by: Tang, Cheng, et al.
Published: (2024)

Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
by: Yunis, David, et al.
Published: (2023)

DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
by: Diaz-Bone, Leander, et al.
Published: (2025)

DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning
by: Guo, Ke, et al.
Published: (2025)

Causally Robust Reward Learning from Reason-Augmented Preference Feedback
by: Hwang, Minjune, et al.
Published: (2026)

TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance
by: Liu, Yuyang, et al.
Published: (2025)

In-Context Policy Adaptation via Cross-Domain Skill Diffusion
by: Yoo, Minjong, et al.
Published: (2025)

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
by: Xie, Tianbao, et al.
Published: (2023)

A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2024)

Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning with Asymmetric Rewards
by: Sonmez, Yasin, et al.
Published: (2024)

Learning to Recover: Dynamic Reward Shaping with Wheel-Leg Coordination for Fallen Robots
by: Deng, Boyuan, et al.
Published: (2025)

Model-Based Runtime Monitoring with Interactive Imitation Learning
by: Liu, Huihan, et al.
Published: (2023)

Imitation Learning from Observation with Automatic Discount Scheduling
by: Liu, Yuyang, et al.
Published: (2023)

RIZE: Adaptive Regularization for Imitation Learning
by: Karimi, Adib, et al.
Published: (2025)

Learning to Drive by Imitating Surrounding Vehicles
by: Sonmez, Yasin, et al.
Published: (2025)

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
by: Liu, Tenglong, et al.
Published: (2024)

Goal-Conditioned Data Augmentation for Offline Reinforcement Learning
by: Huang, Xingshuai, et al.
Published: (2024)

TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
by: Liu, Zuxin, et al.
Published: (2023)

CorrectionPlanner: Self-Correction Planner with Reinforcement Learning in Autonomous Driving
by: Guo, Yihong, et al.
Published: (2026)