Saved in:
| Main Authors: | Beylier, Charlotte, Selder, Hannah, Fleig, Arthur, Hofmann, Simon M., Scherf, Nico |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.20591 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Visual Bias in Simulated Users: The Impact of Luminance and Contrast on Reinforcement Learning-based Interaction
by: Selder, Hannah, et al.
Published: (2026)
by: Selder, Hannah, et al.
Published: (2026)
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics
by: Beylier, Charlotte, et al.
Published: (2024)
by: Beylier, Charlotte, et al.
Published: (2024)
The Geometry of Nonlinear Reinforcement Learning
by: Milosevic, Nikola, et al.
Published: (2025)
by: Milosevic, Nikola, et al.
Published: (2025)
What Makes a Model Breathe? Understanding Reinforcement Learning Reward Function Design in Biomechanical User Simulation
by: Selder, Hannah, et al.
Published: (2025)
by: Selder, Hannah, et al.
Published: (2025)
Demystifying Reward Design in Reinforcement Learning for Upper Extremity Interaction: Practical Guidelines for Biomechanical Simulations in HCI
by: Selder, Hannah, et al.
Published: (2025)
by: Selder, Hannah, et al.
Published: (2025)
Geometry matters: insights from Ollivier Ricci Curvature and Ricci Flow into representational alignment through Ollivier-Ricci Curvature and Ricci Flow
by: Torbati, Nahid, et al.
Published: (2025)
by: Torbati, Nahid, et al.
Published: (2025)
MyoInteract: A Framework for Fast Prototyping of Biomechanical HCI Tasks using Reinforcement Learning
by: Bhattarai, Ankit, et al.
Published: (2026)
by: Bhattarai, Ankit, et al.
Published: (2026)
Stochastic Decision Horizons for Constrained Reinforcement Learning
by: Milosevic, Nikola, et al.
Published: (2026)
by: Milosevic, Nikola, et al.
Published: (2026)
Central Path Proximal Policy Optimization
by: Milosevic, Nikola, et al.
Published: (2025)
by: Milosevic, Nikola, et al.
Published: (2025)
Embedding Safety into RL: A New Take on Trust Region Methods
by: Milosevic, Nikola, et al.
Published: (2024)
by: Milosevic, Nikola, et al.
Published: (2024)
Open Problem: Active Representation Learning
by: Milosevic, Nikola, et al.
Published: (2024)
by: Milosevic, Nikola, et al.
Published: (2024)
Grid-World Representations in Transformers Reflect Predictive Geometry
by: Brenner, Sasha, et al.
Published: (2026)
by: Brenner, Sasha, et al.
Published: (2026)
Fair Distributed Machine Learning with Imbalanced Data as a Stackelberg Evolutionary Game
by: Niehaus, Sebastian, et al.
Published: (2024)
by: Niehaus, Sebastian, et al.
Published: (2024)
Curvature as a tool for evaluating dimensionality reduction and estimating intrinsic dimension
by: Beylier, Charlotte, et al.
Published: (2025)
by: Beylier, Charlotte, et al.
Published: (2025)
Multimodal Recurrent Ensembles for Predicting Brain Responses to Naturalistic Movies (Algonauts 2025)
by: Eren, Semih, et al.
Published: (2025)
by: Eren, Semih, et al.
Published: (2025)
Predicting Microbial Interactions Using Graph Neural Networks
by: Gholamzadeh, Elham, et al.
Published: (2025)
by: Gholamzadeh, Elham, et al.
Published: (2025)
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning
by: Juliani, Arthur, et al.
Published: (2024)
by: Juliani, Arthur, et al.
Published: (2024)
Policy-Based Trajectory Clustering in Offline Reinforcement Learning
by: Hu, Hao, et al.
Published: (2025)
by: Hu, Hao, et al.
Published: (2025)
ReviBranch: Deep Reinforcement Learning for Branch-and-Bound with Revived Trajectories
by: Jiabao, Dou, et al.
Published: (2025)
by: Jiabao, Dou, et al.
Published: (2025)
Transformer-Guided Deep Reinforcement Learning for Optimal Takeoff Trajectory Design of an eVTOL Drone
by: Roberts II, Nathan M., et al.
Published: (2025)
by: Roberts II, Nathan M., et al.
Published: (2025)
Relative Geometry of Neural Forecasters: Linking Accuracy and Alignment in Learned Latent Geometry
by: Kucukahmetler, Deniz, et al.
Published: (2026)
by: Kucukahmetler, Deniz, et al.
Published: (2026)
Deep Reinforcement Learning via Object-Centric Attention
by: Blüml, Jannis, et al.
Published: (2025)
by: Blüml, Jannis, et al.
Published: (2025)
Discovering Behavioral Modes in Deep Reinforcement Learning Policies Using Trajectory Clustering in Latent Space
by: Remman, Sindre Benjamin, et al.
Published: (2024)
by: Remman, Sindre Benjamin, et al.
Published: (2024)
Contrastive Initial State Buffer for Reinforcement Learning
by: Messikommer, Nico, et al.
Published: (2023)
by: Messikommer, Nico, et al.
Published: (2023)
Deep Reinforcement Learning Based Navigation with Macro Actions and Topological Maps
by: Hakenes, Simon, et al.
Published: (2025)
by: Hakenes, Simon, et al.
Published: (2025)
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminates
by: Liu, Shicheng, et al.
Published: (2024)
by: Liu, Shicheng, et al.
Published: (2024)
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
by: Wan, Weikang, et al.
Published: (2024)
by: Wan, Weikang, et al.
Published: (2024)
Cluster-Aware Attention-Based Deep Reinforcement Learning for Pickup and Delivery Problems
by: Wang, Wentao, et al.
Published: (2026)
by: Wang, Wentao, et al.
Published: (2026)
Reinforcement Learning as an Improvement Heuristic for Real-World Production Scheduling
by: Müller, Arthur, et al.
Published: (2024)
by: Müller, Arthur, et al.
Published: (2024)
Reinforcement Learning with Generative Models for Compact Support Sets
by: Schiavone, Nico, et al.
Published: (2024)
by: Schiavone, Nico, et al.
Published: (2024)
Deep Kernel Learning for Stratifying Glaucoma Trajectories
by: Rushing, Bruce, et al.
Published: (2026)
by: Rushing, Bruce, et al.
Published: (2026)
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?
by: Dai, Yang, et al.
Published: (2024)
by: Dai, Yang, et al.
Published: (2024)
Snapshot Reinforcement Learning: Leveraging Prior Trajectories for Efficiency
by: Zhao, Yanxiao, et al.
Published: (2024)
by: Zhao, Yanxiao, et al.
Published: (2024)
Evaluating Pedestrian Trajectory Prediction Methods with Respect to Autonomous Driving
by: Uhlemann, Nico, et al.
Published: (2023)
by: Uhlemann, Nico, et al.
Published: (2023)
Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets
by: Jacot, Arthur
Published: (2025)
by: Jacot, Arthur
Published: (2025)
Know your Trajectory -- Trustworthy Reinforcement Learning deployment through Importance-Based Trajectory Analysis
by: F, Clifford, et al.
Published: (2025)
by: F, Clifford, et al.
Published: (2025)
Enhancing Offline Reinforcement Learning with Curriculum Learning-Based Trajectory Valuation
by: Abolfazli, Amir, et al.
Published: (2025)
by: Abolfazli, Amir, et al.
Published: (2025)
Offline Reinforcement Learning with Generative Trajectory Policies
by: Feng, Xinsong, et al.
Published: (2025)
by: Feng, Xinsong, et al.
Published: (2025)
Offline Trajectory Optimization for Offline Reinforcement Learning
by: Zhao, Ziqi, et al.
Published: (2024)
by: Zhao, Ziqi, et al.
Published: (2024)
Single-Trajectory Distributionally Robust Reinforcement Learning
by: Liang, Zhipeng, et al.
Published: (2023)
by: Liang, Zhipeng, et al.
Published: (2023)
Similar Items
-
Visual Bias in Simulated Users: The Impact of Luminance and Contrast on Reinforcement Learning-based Interaction
by: Selder, Hannah, et al.
Published: (2026) -
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics
by: Beylier, Charlotte, et al.
Published: (2024) -
The Geometry of Nonlinear Reinforcement Learning
by: Milosevic, Nikola, et al.
Published: (2025) -
What Makes a Model Breathe? Understanding Reinforcement Learning Reward Function Design in Biomechanical User Simulation
by: Selder, Hannah, et al.
Published: (2025) -
Demystifying Reward Design in Reinforcement Learning for Upper Extremity Interaction: Practical Guidelines for Biomechanical Simulations in HCI
by: Selder, Hannah, et al.
Published: (2025)