Cover Image

Robot Policy Learning with Temporal Optimal Transport Reward

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fu, Yuwei, Zhang, Haichao, Wu, Di, Xu, Wei, Boulet, Benoit
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Machine Learning Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning
by: Fu, Yuwei, et al.
Published: (2024)

An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles
by: Samiuddin, Jilan, et al.
Published: (2024)

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

Imitation Learning from Observation through Optimal Transport
by: Chang, Wei-Di, et al.
Published: (2023)

Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation
by: Patel, Bhrij, et al.
Published: (2023)

ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization
by: Zhang, Chen Bo Calvin, et al.
Published: (2024)

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

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

Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy Alignment
by: Tian, Ran, et al.
Published: (2024)

CaRL: Learning Scalable Planning Policies with Simple Rewards
by: Jaeger, Bernhard, et al.
Published: (2025)

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning
by: Xu, Charles, et al.
Published: (2024)

Trajectory Prediction for Autonomous Driving using Agent-Interaction Graph Embedding
by: Samiuddin, Jilan, et al.
Published: (2024)

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

Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation
by: Zhang, Hao, et al.
Published: (2024)

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

ImaginationPolicy: Towards Generalizable, Precise and Reliable End-to-End Policy for Robotic Manipulation
by: Lu, Dekun, et al.
Published: (2025)

Body Transformer: Leveraging Robot Embodiment for Policy Learning
by: Sferrazza, Carmelo, et al.
Published: (2024)

Offline Reinforcement Learning with Wasserstein Regularization via Optimal Transport Maps
by: Omura, Motoki, et al.
Published: (2025)

Meta-Reinforcement Learning for Building Energy Management System
by: Zhang, Huiliang, et al.
Published: (2022)

RobotKeyframing: Learning Locomotion with High-Level Objectives via Mixture of Dense and Sparse Rewards
by: Zargarbashi, Fatemeh, et al.
Published: (2024)

Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons
by: Liang, Anthony, et al.
Published: (2026)

TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics
by: Chen, Shirui, et al.
Published: (2026)

Not Only Rewards But Also Constraints: Applications on Legged Robot Locomotion
by: Kim, Yunho, et al.
Published: (2023)

EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
by: Zhang, Jesse, et al.
Published: (2024)

Robot Learning with Sparsity and Scarcity
by: Xu, Jingxi
Published: (2025)

Robot Policy Transfer with Online Demonstrations: An Active Reinforcement Learning Approach
by: Hou, Muhan, et al.
Published: (2025)

Neural-Network-Driven Reward Prediction as a Heuristic: Advancing Q-Learning for Mobile Robot Path Planning
by: Ji, Yiming, et al.
Published: (2024)

DiffClone: Enhanced Behaviour Cloning in Robotics with Diffusion-Driven Policy Learning
by: Mani, Sabariswaran, et al.
Published: (2024)

The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning
by: von Hartz, Jan Ole, et al.
Published: (2025)

Tool-as-Interface: Learning Robot Policies from Observing Human Tool Use
by: Chen, Haonan, et al.
Published: (2025)

Research on Autonomous Robots Navigation based on Reinforcement Learning
by: Wang, Zixiang, et al.
Published: (2024)

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

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

Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds
by: Choi, Andrew, et al.
Published: (2026)

Continual Policy Distillation of Reinforcement Learning-based Controllers for Soft Robotic In-Hand Manipulation
by: Li, Lanpei, et al.
Published: (2024)

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation
by: Guo, Yihong, et al.
Published: (2024)

Adaptive Diffusion Policy Optimization for Robotic Manipulation
by: Jiang, Huiyun, et al.
Published: (2025)

RoboPocket: Improve Robot Policies Instantly with Your Phone
by: Fang, Junjie, et al.
Published: (2026)

Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
by: Ma, Yunchang, et al.
Published: (2025)

Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression
by: Acero, Fernando, et al.
Published: (2024)