Cover Image

Higher Resolution, Better Generalization: Unlocking Visual Scaling in Deep Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Trumpp, Raphael, Çağatan, Ömer Veysel, Akgün, Barış, Caccamo, Marco
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL
by: Çağatan, Ömer Veysel, et al.
Published: (2024)

Failure Modes of Maximum Entropy RLHF
by: Çağatan, Ömer Veysel, et al.
Published: (2025)

SigCLR: Sigmoid Contrastive Learning of Visual Representations
by: Çağatan, Ömer Veysel
Published: (2024)

Clipping-Free Policy Optimization for Large Language Models
by: Çağatan, Ömer Veysel, et al.
Published: (2026)

Impoola: The Power of Average Pooling for Image-Based Deep Reinforcement Learning
by: Trumpp, Raphael, et al.
Published: (2025)

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints
by: Theile, Mirco, et al.
Published: (2024)

UNSEE: Unsupervised Non-contrastive Sentence Embeddings
by: Çağatan, Ömer Veysel
Published: (2024)

Learning to Generate All Feasible Actions
by: Theile, Mirco, et al.
Published: (2023)

Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings
by: Cao, Hongpeng, et al.
Published: (2023)

Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning
by: Theile, Mirco, et al.
Published: (2023)

Adversarial Robustness of Discriminative Self-Supervised Learning in Vision
by: Çağatan, Ömer Veysel, et al.
Published: (2025)

From Marginal to Joint Predictions: Evaluating Scene-Consistent Trajectory Prediction Approaches for Automated Driving
by: Konstantinidis, Fabian, et al.
Published: (2025)

Physics-model-guided Worst-case Sampling for Safe Reinforcement Learning
by: Cao, Hongpeng, et al.
Published: (2024)

Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning
by: Sun, Binqi, et al.
Published: (2023)

Observations Meet Actions: Learning Control-Sufficient Representations for Robust Policy Generalization
by: Gu, Yuliang, et al.
Published: (2025)

Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning
by: Ma, Guozheng, et al.
Published: (2025)

Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning
by: Theile, Mirco, et al.
Published: (2025)

Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning
by: Theile, Mirco, et al.
Published: (2024)

Efficient Real-World Autonomous Racing via Attenuated Residual Policy Optimization
by: Trumpp, Raphael, et al.
Published: (2026)

RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing using Residual Policy Learning
by: Trumpp, Raphael, et al.
Published: (2024)

Learning Markov State Abstractions for Deep Reinforcement Learning
by: Allen, Cameron, et al.
Published: (2021)

Brain-Inspired Planning for Better Generalization in Reinforcement Learning
by: Zhao, Mingde "Harry"
Published: (2025)

Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning
by: Castanyer, Roger Creus, et al.
Published: (2025)

Simplex-enabled Safe Continual Learning Machine
by: Cao, Hongpeng, et al.
Published: (2024)

Personalized Reinforcement Learning with a Budget of Policies
by: Ivanov, Dmitry, et al.
Published: (2024)

Tiny Reinforcement Learning for Quadruped Locomotion using Decision Transformers
by: Akgün, Orhan Eren, et al.
Published: (2024)

Deep Grokking: Would Deep Neural Networks Generalize Better?
by: Fan, Simin, et al.
Published: (2024)

Learning to Undo: Rollback-Augmented Reinforcement Learning with Reversibility Signals
by: Sorstkins, Andrejs, et al.
Published: (2025)

Distributed and Secure Kernel-Based Quantum Machine Learning
by: Swaminathan, Arjhun, et al.
Published: (2024)

MPC-based Deep Reinforcement Learning Method for Space Robotic Control with Fuel Sloshing Mitigation
by: Ramezani, Mahya, et al.
Published: (2025)

Mixtures of Experts Unlock Parameter Scaling for Deep RL
by: Obando-Ceron, Johan, et al.
Published: (2024)

Structure-Informed Deep Reinforcement Learning for Inventory Management
by: Maggiar, Alvaro, et al.
Published: (2025)

Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
by: Zhao, Mingde, et al.
Published: (2023)

Enhancing the Utility of Higher-Order Information in Relational Learning
by: Pellegrin, Raphael, et al.
Published: (2025)

TimesNet-Gen: Deep Learning-based Site Specific Strong Motion Generation
by: Yilmaz, Baris, et al.
Published: (2025)

Large Scale Constrained Clustering With Reinforcement Learning
by: Schesch, Benedikt, et al.
Published: (2024)

DeepEdge: A Deep Reinforcement Learning based Task Orchestrator for Edge Computing
by: Yamansavascilar, Baris, et al.
Published: (2021)

SIMR-NO: A Spectrally-Informed Multi-Resolution Neural Operator for Turbulent Flow Super-Resolution
by: Abid, Muhammad, et al.
Published: (2026)

Bregman Centroid Guided Cross-Entropy Method
by: Gu, Yuliang, et al.
Published: (2025)

Multi-Objective Reinforcement Learning for Large-Scale Tote Allocation in Human-Robot Collaborative Fulfillment Centers
by: Sengupta, Sikata, et al.
Published: (2026)