Cover Image

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Venugopal, Aravind, Chen, Jiayu, Wu, Xudong, Zheng, Chongyi, Eysenbach, Benjamin, Schneider, Jeff
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can We Really Learn One Representation to Optimize All Rewards?
by: Zheng, Chongyi, et al.
Published: (2026)

HIQL: Offline Goal-Conditioned RL with Latent States as Actions
by: Park, Seohong, et al.
Published: (2023)

Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning
by: Chen, Jiayu, et al.
Published: (2025)

Multistep Quasimetric Learning for Scalable Goal-conditioned Reinforcement Learning
by: Zheng, Bill Chunyuan, et al.
Published: (2025)

Intention-Conditioned Flow Occupancy Models
by: Zheng, Chongyi, et al.
Published: (2025)

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

Consistent Zero-Shot Imitation with Contrastive Goal Inference
by: Wantlin, Kathryn, et al.
Published: (2025)

SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
by: Sikchi, Harshit, et al.
Published: (2023)

Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy Optimization
by: Kapoor, Aditya, et al.
Published: (2024)

Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations
by: Myers, Vivek, et al.
Published: (2025)

On-Robot Reinforcement Learning with Goal-Contrastive Rewards
by: Biza, Ondrej, et al.
Published: (2024)

OGBench: Benchmarking Offline Goal-Conditioned RL
by: Park, Seohong, et al.
Published: (2024)

Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning
by: Vasan, Gautham, et al.
Published: (2024)

Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
by: Cao, Chenyang, et al.
Published: (2024)

Offline Goal-Conditioned Reinforcement Learning for Shape Control of Deformable Linear Objects
by: Laezza, Rita, et al.
Published: (2024)

Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning
by: Rouxel, Quentin, et al.
Published: (2025)

Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
by: Zheng, Chongyi, et al.
Published: (2023)

Equivariant Goal Conditioned Contrastive Reinforcement Learning
by: Tangri, Arsh, et al.
Published: (2025)

Improving Offline Reinforcement Learning with Inaccurate Simulators
by: Hou, Yiwen, et al.
Published: (2024)

Goal-Conditioned Decision Transformer for Multi-Goal Offline Reinforcement Learning
by: Gajewski, Paweł, et al.
Published: (2024)

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

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
by: Zhao, Kai, et al.
Published: (2023)

Generalization in Deep Reinforcement Learning for Robotic Navigation by Reward Shaping
by: Miranda, Victor R. F., et al.
Published: (2022)

SLAP: Shortcut Learning for Abstract Planning
by: Liu, Y. Isabel, et al.
Published: (2025)

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

Safe Multi-Agent Navigation guided by Goal-Conditioned Safe Reinforcement Learning
by: Feng, Meng, et al.
Published: (2025)

Equivariant Offline Reinforcement Learning
by: Tangri, Arsh, et al.
Published: (2024)

Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
by: Chen, Wen-Tse, et al.
Published: (2026)

Contrastive Difference Predictive Coding
by: Zheng, Chongyi, et al.
Published: (2023)

Offline Reinforcement Learning using Human-Aligned Reward Labeling for Autonomous Emergency Braking in Occluded Pedestrian Crossing
by: Asodia, Vinal, et al.
Published: (2025)

D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning
by: Wang, Caroline, et al.
Published: (2022)

Accelerated Online Reinforcement Learning using Auxiliary Start State Distributions
by: Mehra, Aman, et al.
Published: (2025)

Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
by: Duan, Yuanlin, et al.
Published: (2024)

Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2026)

Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning
by: Chen, Jiayu, et al.
Published: (2024)

Data-Efficient Hierarchical Goal-Conditioned Reinforcement Learning via Normalizing Flows
by: Garg, Shaswat, et al.
Published: (2026)

Physics-informed Goal-Conditioned Reinforcement Learning under Hybrid Contact Dynamics
by: Giammarino, Vittorio, et al.
Published: (2026)

Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning
by: Zheng, Chongyi, et al.
Published: (2024)

Dataset Clustering for Improved Offline Policy Learning
by: Wang, Qiang, et al.
Published: (2024)

Model-Based Reinforcement Learning with Multi-Task Offline Pretraining
by: Pan, Minting, et al.
Published: (2023)