Cover Image

Performance Asymmetry in Model-Based Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lim, Jing Yu, Shah, Rushi, Ikram, Zarif, Yu, Samson, Ma, Haozhe, Leong, Tze-Yun, Liu, Dianbo
Format:	Preprint
Published:	2025
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

JEDI: Joint Embedding Diffusion World Model for Online Model-Based Reinforcement Learning
by: Lim, Jing Yu, et al.
Published: (2026)

Evolution Guided Generative Flow Networks
by: Ikram, Zarif, et al.
Published: (2024)

Causal Policy Learning in Reinforcement Learning: Backdoor-Adjusted Soft Actor-Critic
by: Vo, Thanh Vinh, et al.
Published: (2025)

Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
by: Ma, Haozhe, et al.
Published: (2024)

Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning
by: Ma, Haozhe, et al.
Published: (2024)

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

Representation Collapsing Problems in Vector Quantization
by: Zhao, Wenhao, et al.
Published: (2024)

Hierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction
by: Wu, Jiele, et al.
Published: (2026)

Improving Discrete Optimisation Via Decoupled Straight-Through Estimator
by: Shah, Rushi, et al.
Published: (2024)

Exploration by Random Reward Perturbation
by: Ma, Haozhe, et al.
Published: (2025)

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
by: Zheng, Yinan, et al.
Published: (2024)

RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning
by: Lei, Kun, et al.
Published: (2025)

Continual Model-Based Reinforcement Learning with Hypernetworks
by: Huang, Yizhou, et al.
Published: (2020)

Masked Generative Priors Improve World Models Sequence Modelling Capabilities
by: Meo, Cristian, et al.
Published: (2024)

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

Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
by: Su, Huikang, et al.
Published: (2025)

Learning to Play Air Hockey with Model-Based Deep Reinforcement Learning
by: Orsula, Andrej
Published: (2024)

Learning global control of underactuated systems with Model-Based Reinforcement Learning
by: Turcato, Niccolò, et al.
Published: (2025)

World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry
by: Liu, Yuejiang, et al.
Published: (2026)

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

OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
by: Xu, Botian, et al.
Published: (2023)

Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms
by: Dagdanov, Resul, et al.
Published: (2022)

Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning
by: Bozkurt, Alper Kamil, et al.
Published: (2019)

Towards Robust Zero-Shot Reinforcement Learning
by: Zheng, Kexin, et al.
Published: (2025)

Early Quantization Shrinks Codebook: A Simple Fix for Diversity-Preserving Tokenization
by: Zhao, Wenhao, et al.
Published: (2026)

Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
by: Pan, Minting, et al.
Published: (2025)

STORI: A Benchmark and Taxonomy for Stochastic Environments
by: Barsainyan, Aryan Amit, et al.
Published: (2025)

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

Sampling-Based Safe Reinforcement Learning
by: Vignola, Luca, et al.
Published: (2026)

D-SPEAR: Dual-Stream Prioritized Experience Adaptive Replay for Stable Reinforcement Learning in Robotic Manipulation
by: Zhang, Yu, et al.
Published: (2026)

Replication of Impedance Identification Experiments on a Reinforcement-Learning-Controlled Digital Twin of Human Elbows
by: Yu, Hao, et al.
Published: (2024)

Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement Learning
by: Yu, Xuehui, et al.
Published: (2024)

Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient
by: Wang, Wenlong, et al.
Published: (2024)

Demonstrating the Octopi-1.5 Visual-Tactile-Language Model
by: Yu, Samson, et al.
Published: (2025)

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

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

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

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

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning
by: Zhang, Yu, et al.
Published: (2025)

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