Multi-action Tangled Program Graphs for Multi-task Reinforcement Learning with Continuous Control
Fuente:
arXiv
Saved in:
| Main Authors: | Vacher, Quentin, Beuve, Nicolas, Dardaillon, Mickaël, Desnos, Karol |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tangled Program Graphs as an alternative to DRL-based control algorithms for UAVs
by: Szolc, Hubert, et al.
Published: (2024)
by: Szolc, Hubert, et al.
Published: (2024)
Heterogeneous Graph Reinforcement Learning for Dependency-aware Multi-task Allocation in Spatial Crowdsourcing
by: Zhao, Yong, et al.
Published: (2024)
by: Zhao, Yong, et al.
Published: (2024)
Multi-task Heterogeneous Graph Learning on Electronic Health Records
by: Chan, Tsai Hor, et al.
Published: (2024)
by: Chan, Tsai Hor, et al.
Published: (2024)
Multi-task Representation Learning for Mixed Integer Linear Programming
by: Cai, Junyang, et al.
Published: (2024)
by: Cai, Junyang, et al.
Published: (2024)
Reinforcement Networks: novel framework for collaborative Multi-Agent Reinforcement Learning tasks
by: Kryzhanovskiy, Maksim, et al.
Published: (2025)
by: Kryzhanovskiy, Maksim, et al.
Published: (2025)
STAIRS-Former: Spatio-Temporal Attention with Interleaved Recursive Structure Transformer for Offline Multi-task Multi-agent Reinforcement Learning
by: Jeon, Jiwon, et al.
Published: (2026)
by: Jeon, Jiwon, et al.
Published: (2026)
Coordination Graphs for Constrained Multi-Agent Reinforcement Learning
by: Amaya-Corredor, Santiago, et al.
Published: (2026)
by: Amaya-Corredor, Santiago, et al.
Published: (2026)
MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning
by: Tomilin, Tristan, et al.
Published: (2025)
by: Tomilin, Tristan, et al.
Published: (2025)
Guiding Multi-agent Multi-task Reinforcement Learning by a Hierarchical Framework with Logical Reward Shaping
by: Liu, Chanjuan, et al.
Published: (2024)
by: Liu, Chanjuan, et al.
Published: (2024)
Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning
by: Poupart, Yoann, et al.
Published: (2025)
by: Poupart, Yoann, et al.
Published: (2025)
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
by: Yang, Tong, et al.
Published: (2023)
by: Yang, Tong, et al.
Published: (2023)
Shared-unique Features and Task-aware Prioritized Sampling on Multi-task Reinforcement Learning
by: Lin, Po-Shao, et al.
Published: (2024)
by: Lin, Po-Shao, et al.
Published: (2024)
Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework
by: Yi, Zhongchao, et al.
Published: (2024)
by: Yi, Zhongchao, et al.
Published: (2024)
Multi-Objective Deep Reinforcement Learning for Optimisation in Autonomous Systems
by: Rosero, Juan C., et al.
Published: (2024)
by: Rosero, Juan C., et al.
Published: (2024)
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning
by: Delfosse, Quentin, et al.
Published: (2024)
by: Delfosse, Quentin, et al.
Published: (2024)
Multi-granularity Knowledge Transfer for Continual Reinforcement Learning
by: Pan, Chaofan, et al.
Published: (2024)
by: Pan, Chaofan, et al.
Published: (2024)
Evaluating Interpretable Reinforcement Learning by Distilling Policies into Programs
by: Kohler, Hector, et al.
Published: (2025)
by: Kohler, Hector, et al.
Published: (2025)
Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision
by: Walimbe, Soham, et al.
Published: (2025)
by: Walimbe, Soham, et al.
Published: (2025)
Skyline-First Traversal as a Control Mechanism for Multi-Criteria Graph Search
by: Tacheny, Nicolas
Published: (2026)
by: Tacheny, Nicolas
Published: (2026)
Multi-Step First: A Lightweight Deep Reinforcement Learning Strategy for Robust Continuous Control with Partial Observability
by: Meng, Lingheng, et al.
Published: (2022)
by: Meng, Lingheng, et al.
Published: (2022)
Self-Clustering Hierarchical Multi-Agent Reinforcement Learning with Extensible Cooperation Graph
by: Fu, Qingxu, et al.
Published: (2024)
by: Fu, Qingxu, et al.
Published: (2024)
UniWhisper: Efficient Continual Multi-task Training for Robust Universal Audio Representation
by: Chen, Yuxuan, et al.
Published: (2026)
by: Chen, Yuxuan, et al.
Published: (2026)
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control
by: Zhu, Liwen, et al.
Published: (2024)
by: Zhu, Liwen, et al.
Published: (2024)
Conflict-Averse Gradient Descent for Multi-task Learning
by: Liu, Bo, et al.
Published: (2021)
by: Liu, Bo, et al.
Published: (2021)
Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning
by: Escudie, Erwan, et al.
Published: (2024)
by: Escudie, Erwan, et al.
Published: (2024)
Reinforcing the World's Edge: A Continual Learning Problem in the Multi-Agent-World Boundary
by: Malenfant, Dane
Published: (2026)
by: Malenfant, Dane
Published: (2026)
Probing the Information Encoded in Neural-based Acoustic Models of Automatic Speech Recognition Systems
by: Raymondaud, Quentin, et al.
Published: (2024)
by: Raymondaud, Quentin, et al.
Published: (2024)
Agentic Meta-Orchestrator for Multi-task Copilots
by: Zhu, Xiaofeng, et al.
Published: (2025)
by: Zhu, Xiaofeng, et al.
Published: (2025)
Disentangling Representations through Multi-task Learning
by: Vafidis, Pantelis, et al.
Published: (2024)
by: Vafidis, Pantelis, et al.
Published: (2024)
Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention
by: Yang, Min, et al.
Published: (2023)
by: Yang, Min, et al.
Published: (2023)
BioMedGPT-Mol: Multi-task Learning for Molecular Understanding and Generation
by: Zuo, Chenyang, et al.
Published: (2025)
by: Zuo, Chenyang, et al.
Published: (2025)
SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy
by: Goh, Yong Liang, et al.
Published: (2025)
by: Goh, Yong Liang, et al.
Published: (2025)
Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems
by: Sun, Luning, et al.
Published: (2025)
by: Sun, Luning, et al.
Published: (2025)
Learning with Expert Abstractions for Efficient Multi-Task Continuous Control
by: Jewett, Jeff, et al.
Published: (2025)
by: Jewett, Jeff, et al.
Published: (2025)
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents
by: Grandien, Nils, et al.
Published: (2024)
by: Grandien, Nils, et al.
Published: (2024)
Beyond Distributions: Geometric Action Control for Continuous Reinforcement Learning
by: Lin, Zhihao
Published: (2025)
by: Lin, Zhihao
Published: (2025)
MultiLS: A Multi-task Lexical Simplification Framework
by: North, Kai, et al.
Published: (2024)
by: North, Kai, et al.
Published: (2024)
Multi-task GINN-LP for Multi-target Symbolic Regression
by: Rajabu, Hussein, et al.
Published: (2025)
by: Rajabu, Hussein, et al.
Published: (2025)
A Robust and Efficient Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
by: Huang, Sheng-You, et al.
Published: (2026)
by: Huang, Sheng-You, et al.
Published: (2026)
An Improved Strategy for Blood Glucose Control Using Multi-Step Deep Reinforcement Learning
by: Gu, Weiwei, et al.
Published: (2024)
by: Gu, Weiwei, et al.
Published: (2024)
Similar Items
-
Tangled Program Graphs as an alternative to DRL-based control algorithms for UAVs
by: Szolc, Hubert, et al.
Published: (2024) -
Heterogeneous Graph Reinforcement Learning for Dependency-aware Multi-task Allocation in Spatial Crowdsourcing
by: Zhao, Yong, et al.
Published: (2024) -
Multi-task Heterogeneous Graph Learning on Electronic Health Records
by: Chan, Tsai Hor, et al.
Published: (2024) -
Multi-task Representation Learning for Mixed Integer Linear Programming
by: Cai, Junyang, et al.
Published: (2024) -
Reinforcement Networks: novel framework for collaborative Multi-Agent Reinforcement Learning tasks
by: Kryzhanovskiy, Maksim, et al.
Published: (2025)