Integrating Reinforcement Learning, Action Model Learning, and Numeric Planning for Tackling Complex Tasks
Fuente:
arXiv
Saved in:
| Main Authors: | Benyamin, Yarin, Mordoch, Argaman, Shperberg, Shahaf S., Stern, Roni |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RAMP: Hybrid DRL for Online Learning of Numeric Action Models
by: Benyamin, Yarin, et al.
Published: (2026)
by: Benyamin, Yarin, et al.
Published: (2026)
Toward PDDL Planning Copilot
by: Benyamin, Yarin, et al.
Published: (2025)
by: Benyamin, Yarin, et al.
Published: (2025)
Learning Safe Numeric Planning Action Models
by: Mordoch, Argaman, et al.
Published: (2023)
by: Mordoch, Argaman, et al.
Published: (2023)
Safe Learning of PDDL Domains with Conditional Effects -- Extended Version
by: Mordoch, Argaman, et al.
Published: (2024)
by: Mordoch, Argaman, et al.
Published: (2024)
EvoGPT: Leveraging LLM-Driven Seed Diversity to Improve Search-Based Test Suite Generation
by: Broide, Lior, et al.
Published: (2025)
by: Broide, Lior, et al.
Published: (2025)
Beyond Single-Step Updates: Reinforcement Learning of Heuristics with Limited-Horizon Search
by: Hadar, Gal, et al.
Published: (2025)
by: Hadar, Gal, et al.
Published: (2025)
From Kinematics to Dynamics: Learning to Refine Hybrid Plans for Physically Feasible Execution
by: Erez, Lidor, et al.
Published: (2026)
by: Erez, Lidor, et al.
Published: (2026)
Planning and Acting While the Clock Ticks
by: Coles, Andrew, et al.
Published: (2024)
by: Coles, Andrew, et al.
Published: (2024)
On Parallel External-Memory Bidirectional Search
by: Siag, Lior, et al.
Published: (2024)
by: Siag, Lior, et al.
Published: (2024)
Bidirectional Bounded-Suboptimal Heuristic Search with Consistent Heuristics
by: Shperberg, Shahaf S., et al.
Published: (2025)
by: Shperberg, Shahaf S., et al.
Published: (2025)
A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks
by: Agostinelli, Forest, et al.
Published: (2021)
by: Agostinelli, Forest, et al.
Published: (2021)
On Tackling Complex Tasks with Reward Machines and Signal Temporal Logics
by: Ruiz, Ana María Gómez, et al.
Published: (2026)
by: Ruiz, Ana María Gómez, et al.
Published: (2026)
Leveraging Action Relational Structures for Integrated Learning and Planning
by: Wang, Ryan Xiao, et al.
Published: (2025)
by: Wang, Ryan Xiao, et al.
Published: (2025)
Stabilizing Policy Gradients for Sample-Efficient Reinforcement Learning in LLM Reasoning
by: Melo, Luckeciano C., et al.
Published: (2025)
by: Melo, Luckeciano C., et al.
Published: (2025)
Budget Allocation Policies for Real-Time Multi-Agent Path Finding
by: Beck, Raz, et al.
Published: (2025)
by: Beck, Raz, et al.
Published: (2025)
Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
by: Xu, Jiawei, et al.
Published: (2024)
by: Xu, Jiawei, et al.
Published: (2024)
Equivariant Action Sampling for Reinforcement Learning and Planning
by: Zhao, Linfeng, et al.
Published: (2024)
by: Zhao, Linfeng, et al.
Published: (2024)
Graph Learning for Numeric Planning
by: Chen, Dillon Z., et al.
Published: (2024)
by: Chen, Dillon Z., et al.
Published: (2024)
Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning
by: Dou, Zhihao, et al.
Published: (2025)
by: Dou, Zhihao, et al.
Published: (2025)
Effort Allocation for Deadline-Aware Task and Motion Planning: A Metareasoning Approach
by: Sung, Yoonchang, et al.
Published: (2024)
by: Sung, Yoonchang, et al.
Published: (2024)
Boosting Hierarchical Reinforcement Learning with Meta-Learning for Complex Task Adaptation
by: Khajooeinejad, Arash, et al.
Published: (2024)
by: Khajooeinejad, Arash, et al.
Published: (2024)
Efficient Multi-Task Reinforcement Learning via Task-Specific Action Correction
by: Feng, Jinyuan, et al.
Published: (2024)
by: Feng, Jinyuan, et al.
Published: (2024)
In-Context Learning Learns Label Relationships but Is Not Conventional Learning
by: Kossen, Jannik, et al.
Published: (2023)
by: Kossen, Jannik, et al.
Published: (2023)
Sample-Efficient Robot Skill Learning for Construction Tasks: Benchmarking Hierarchical Reinforcement Learning and Vision-Language-Action VLA Model
by: Hu, Zhaofeng, et al.
Published: (2025)
by: Hu, Zhaofeng, et al.
Published: (2025)
Optimal and Bounded Suboptimal Any-Angle Multi-agent Pathfinding
by: Yakovlev, Konstantin, et al.
Published: (2024)
by: Yakovlev, Konstantin, et al.
Published: (2024)
Plan Then Retrieve: Reinforcement Learning-Guided Complex Reasoning over Knowledge Graphs
by: Song, Yanlin, et al.
Published: (2025)
by: Song, Yanlin, et al.
Published: (2025)
DARIL: When Imitation Learning outperforms Reinforcement Learning in Surgical Action Planning
by: Boels, Maxence, et al.
Published: (2025)
by: Boels, Maxence, et al.
Published: (2025)
Planning with a Learned Policy Basis to Optimally Solve Complex Tasks
by: Infante, Guillermo, et al.
Published: (2024)
by: Infante, Guillermo, et al.
Published: (2024)
Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning
by: Fei, Zhaoye, et al.
Published: (2025)
by: Fei, Zhaoye, et al.
Published: (2025)
Bidirectional Task-Motion Planning Based on Hierarchical Reinforcement Learning for Strategic Confrontation
by: Wu, Qizhen, et al.
Published: (2025)
by: Wu, Qizhen, et al.
Published: (2025)
Adaptive Reinforcement Learning Planning: Harnessing Large Language Models for Complex Information Extraction
by: Ding, Zepeng, et al.
Published: (2024)
by: Ding, Zepeng, et al.
Published: (2024)
QAP-Router: Tackling Qubit Routing as Dynamic Quadratic Assignment with Reinforcement Learning
by: Nguyen, Kien X., et al.
Published: (2026)
by: Nguyen, Kien X., et al.
Published: (2026)
Subgoaling Relaxation-based Heuristics for Numeric Planning with Infinite Actions
by: Aso-Mollar, Ángel, et al.
Published: (2025)
by: Aso-Mollar, Ángel, et al.
Published: (2025)
Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning
by: Gupta, Gunshi, et al.
Published: (2025)
by: Gupta, Gunshi, et al.
Published: (2025)
On Learning Action Costs from Input Plans
by: Morales, Marianela, et al.
Published: (2024)
by: Morales, Marianela, et al.
Published: (2024)
Temporal-Difference Variational Continual Learning
by: Melo, Luckeciano C., et al.
Published: (2024)
by: Melo, Luckeciano C., et al.
Published: (2024)
Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning
by: Schutz, Alex, et al.
Published: (2025)
by: Schutz, Alex, et al.
Published: (2025)
Algorithm Selection for Optimal Multi-Agent Path Finding via Graph Embedding
by: Shabalin, Carmel, et al.
Published: (2024)
by: Shabalin, Carmel, et al.
Published: (2024)
Model-based Reinforcement Learning for Parameterized Action Spaces
by: Zhang, Renhao, et al.
Published: (2024)
by: Zhang, Renhao, et al.
Published: (2024)
Tackling Heterogeneity in Quantum Federated Learning: An Integrated Sporadic-Personalized Approach
by: Rahman, Ratun, et al.
Published: (2026)
by: Rahman, Ratun, et al.
Published: (2026)
Similar Items
-
RAMP: Hybrid DRL for Online Learning of Numeric Action Models
by: Benyamin, Yarin, et al.
Published: (2026) -
Toward PDDL Planning Copilot
by: Benyamin, Yarin, et al.
Published: (2025) -
Learning Safe Numeric Planning Action Models
by: Mordoch, Argaman, et al.
Published: (2023) -
Safe Learning of PDDL Domains with Conditional Effects -- Extended Version
by: Mordoch, Argaman, et al.
Published: (2024) -
EvoGPT: Leveraging LLM-Driven Seed Diversity to Improve Search-Based Test Suite Generation
by: Broide, Lior, et al.
Published: (2025)