Cover Image

Controllability in preference-conditioned multi-objective reinforcement learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Molins, Pau de las Heras, Yalcinkaya, Beyazit, Peters, Lasse, Fridovich-Keil, David, Bakirtzis, Georgios
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

Approximate solutions to games of ordered preference
by: Molins, Pau de las Heras, et al.
Published: (2025)

Breaking Exponential Complexity in Games of Ordered Preference: A Tractable Reformulation
by: Lee, Dong Ho, et al.
Published: (2026)

Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning
by: Lopez, Antonio, et al.
Published: (2024)

Bayesian Inverse Games with High-Dimensional Multi-Modal Observations
by: Jain, Yash, et al.
Published: (2026)

Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning
by: Barkley, Brett, et al.
Published: (2024)

A Forensic Analysis of Synthetic Data in RL: Diagnosing and Solving Algorithmic Failures in Model-Based Policy Optimization
by: Barkley, Brett, et al.
Published: (2025)

Auto-Encoding Bayesian Inverse Games
by: Liu, Xinjie, et al.
Published: (2024)

Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functions
by: Remy, Isaac, et al.
Published: (2024)

Scaling Pretrained Representations Enables Label-Free Out-of-Distribution Detection Without Fine-Tuning
by: Barkley, Brett, et al.
Published: (2026)

SCOPED: Score-Curvature Out-of-distribution Proximity Evaluator for Diffusion
by: Barkley, Brett, et al.
Published: (2025)

A Recovery Guarantee for Sparse Neural Networks
by: Fridovich-Keil, Sara, et al.
Published: (2025)

Neural Operators for Multi-Task Control and Adaptation
by: Sewell, David, et al.
Published: (2026)

Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models
by: Levy, Jacob, et al.
Published: (2024)

KLIP: localized distribution shift detection via KL-divergence with diffusion priors in Inverse Problems
by: Kheirandish, Alireza, et al.
Published: (2026)

You Can't Always Get What You Want: Games of Ordered Preference
by: Lee, Dong Ho, et al.
Published: (2024)

Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
by: Yalcinkaya, Beyazit, et al.
Published: (2024)

Provably Correct Automata Embeddings for Optimal Automata-Conditioned Reinforcement Learning
by: Yalcinkaya, Beyazit, et al.
Published: (2025)

Categorical semantics of compositional reinforcement learning
by: Bakirtzis, Georgios, et al.
Published: (2022)

MOMA-AC: A preference-driven actor-critic framework for continuous multi-objective multi-agent reinforcement learning
by: Callaghan, Adam, et al.
Published: (2025)

Monotonic Transformation Invariant Multi-task Learning
by: Murthy, Surya, et al.
Published: (2025)

Symbolic Regression on Sparse and Noisy Data with Gaussian Processes
by: Hsin, Junette, et al.
Published: (2023)

HEART: A High-Efficiency Adaptive Real-Time Telemonitoring Framework for Secure Electrocardiogram Signal Transmission Using Chaotic Encryption
by: Yuksel, Beyazıt Bestami
Published: (2026)

Generalized Information Gathering Under Dynamics Uncertainty
by: Palafox, Fernando, et al.
Published: (2026)

Compositional shield synthesis for safe reinforcement learning in partial observability
by: Carr, Steven, et al.
Published: (2025)

A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games
by: Agarwal, Shubhankar, et al.
Published: (2025)

A Flow Matching Algorithm for Many-Shot Adaptation to Unseen Distributions
by: Ingebrand, Tyler, et al.
Published: (2026)

A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation
by: Liu, Xinjie, et al.
Published: (2025)

Data-assimilated model-informed reinforcement learning
by: Ozan, Defne E., et al.
Published: (2025)

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning
by: Yalcinkaya, Beyazit, et al.
Published: (2025)

Load constrained wind farm flow control through multi-objective multi-agent reinforcement learning
by: Åstrand, Teodor, et al.
Published: (2026)

Data-Driven Modeling and Correction of Vehicle Dynamics
by: Ly, Nguyen, et al.
Published: (2025)

Middle-mile logistics through the lens of goal-conditioned reinforcement learning
by: Eberhard, Onno, et al.
Published: (2026)

Bridging the phenotype-target gap for molecular generation via multi-objective reinforcement learning
by: Guo, Haotian, et al.
Published: (2025)

Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning
by: Bakirtzis, Georgios, et al.
Published: (2024)

FoX: Formation-aware exploration in multi-agent reinforcement learning
by: Jo, Yonghyeon, et al.
Published: (2023)

Adaptive traffic signal safety and efficiency improvement by multi objective deep reinforcement learning approach
by: Mirbakhsh, Shahin, et al.
Published: (2024)

Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis
by: Nakamura, Kensuke, et al.
Published: (2025)

Solving Inverse Problems in Protein Space Using Diffusion-Based Priors
by: Levy, Axel, et al.
Published: (2024)

Accurate, provable and fast polychromatic tomographic reconstruction: A variational inequality approach
by: Lou, Mengqi, et al.
Published: (2025)

Hardware-Aware Federated Learning for Speech Emotion Recognition
by: Yuksel, Beyazit Bestami, et al.
Published: (2026)