Cover Image

DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Vint, Abbeel, Pieter, Lee, Youngwoon
Format:	Preprint
Published:	2023
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

HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation
by: Sferrazza, Carmelo, et al.
Published: (2024)

Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning
by: Seo, Younggyo, et al.
Published: (2024)

Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning
by: Park, Kwanyoung, et al.
Published: (2024)

Offline Imitation Learning Through Graph Search and Retrieval
by: Yin, Zhao-Heng, et al.
Published: (2024)

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

Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations
by: Zhu, Yujie, et al.
Published: (2025)

FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control
by: Seo, Younggyo, et al.
Published: (2025)

Chip Placement with Diffusion Models
by: Lee, Vint, et al.
Published: (2024)

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

Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
by: Frans, Kevin, et al.
Published: (2024)

Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own
by: Ye, Weirui, et al.
Published: (2023)

Learning to be Smooth: An End-to-End Differentiable Particle Smoother
by: Younis, Ali, et al.
Published: (2025)

Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2025)

Learning Sim-to-Real Humanoid Locomotion in 15 Minutes
by: Seo, Younggyo, et al.
Published: (2025)

MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
by: Sukhija, Bhavya, et al.
Published: (2024)

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

Learning a Diffusion Model Policy from Rewards via Q-Score Matching
by: Psenka, Michael, et al.
Published: (2023)

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

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

Video2Policy: Scaling up Manipulation Tasks in Simulation through Internet Videos
by: Ye, Weirui, et al.
Published: (2025)

A Recipe for Stable Offline Multi-agent Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2026)

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

Affordance-Guided Reinforcement Learning via Visual Prompting
by: Lee, Olivia Y., et al.
Published: (2024)

DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
by: Diaz-Bone, Leander, 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)

DreamGen: Unlocking Generalization in Robot Learning through Video World Models
by: Jang, Joel, et al.
Published: (2025)

Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
by: Song, Yeda, et al.
Published: (2024)

Object-centric 3D Motion Field for Robot Learning from Human Videos
by: Yin, Zhao-Heng, et al.
Published: (2025)

Improving generalization of robot locomotion policies via Sharpness-Aware Reinforcement Learning
by: Bochem, Severin, et al.
Published: (2024)

Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning based Local Motion Planners
by: Ng, Wen Zheng Terence, et al.
Published: (2024)

Chunk-Guided Q-Learning
by: Song, Gwanwoo, et al.
Published: (2026)

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

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

A Generalized Acquisition Function for Preference-based Reward Learning
by: Ellis, Evan, et al.
Published: (2024)

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

Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2026)

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

Vintix: Action Model via In-Context Reinforcement Learning
by: Polubarov, Andrey, et al.
Published: (2025)

TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations
by: Bae, Junik, et al.
Published: (2024)