Enhancing Reinforcement Learning for the Floorplanning of Analog ICs with Beam Search
Fuente:
arXiv
Saved in:
| Main Authors: | Della Rovere, Sandro Junior, Basso, Davide, Bortolussi, Luca, Videnovic-Misic, Mirjana, Habal, Husni |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Advancing Routing-Awareness in Analog ICs Floorplanning
by: Basso, Davide, et al.
Published: (2025)
by: Basso, Davide, et al.
Published: (2025)
Effective Analog ICs Floorplanning with Relational Graph Neural Networks and Reinforcement Learning
by: Basso, Davide, et al.
Published: (2024)
by: Basso, Davide, et al.
Published: (2024)
Fast ML-driven Analog Circuit Layout using Reinforcement Learning and Steiner Trees
by: Basso, Davide, et al.
Published: (2024)
by: Basso, Davide, et al.
Published: (2024)
Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints
by: Scassola, Davide, et al.
Published: (2023)
by: Scassola, Davide, et al.
Published: (2023)
Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation
by: Verdù, Federico Julian Camerota, et al.
Published: (2024)
by: Verdù, Federico Julian Camerota, et al.
Published: (2024)
Diffusion-based Time Series Forecasting for Sewerage Systems
by: Pearson, Nicholas A., et al.
Published: (2025)
by: Pearson, Nicholas A., et al.
Published: (2025)
Less is More: A Stealthy and Efficient Adversarial Attack Method for DRL-based Autonomous Driving Policies
by: Fan, Junchao, et al.
Published: (2024)
by: Fan, Junchao, et al.
Published: (2024)
Monte Carlo Beam Search for Actor-Critic Reinforcement Learning in Continuous Control
by: Alzorgan, Hazim, et al.
Published: (2025)
by: Alzorgan, Hazim, et al.
Published: (2025)
ECATS: Explainable-by-design concept-based anomaly detection for time series
by: Ferfoglia, Irene, et al.
Published: (2024)
by: Ferfoglia, Irene, et al.
Published: (2024)
A Sobering Look at Tabular Data Generation via Probabilistic Circuits
by: Scassola, Davide, et al.
Published: (2026)
by: Scassola, Davide, et al.
Published: (2026)
Combining Pre-Trained Models for Enhanced Feature Representation in Reinforcement Learning
by: Piccoli, Elia, et al.
Published: (2025)
by: Piccoli, Elia, et al.
Published: (2025)
Reinforcement Learning Constrained Beam Search for Parameter Optimization of Paper Drying Under Flexible Constraints
by: Chen, Siyuan, et al.
Published: (2025)
by: Chen, Siyuan, et al.
Published: (2025)
Learning When to Act: Interval-Aware Reinforcement Learning with Predictive Temporal Structure
by: Di Gioia, Davide
Published: (2026)
by: Di Gioia, Davide
Published: (2026)
AstRL: Analog and Mixed-Signal Circuit Synthesis with Deep Reinforcement Learning
by: Guo, Felicia B., et al.
Published: (2026)
by: Guo, Felicia B., et al.
Published: (2026)
On the Robustness of Bayesian Neural Networks to Adversarial Attacks
by: Bortolussi, Luca, et al.
Published: (2022)
by: Bortolussi, Luca, et al.
Published: (2022)
Blending adversarial training and representation-conditional purification via aggregation improves adversarial robustness
by: Ballarin, Emanuele, et al.
Published: (2023)
by: Ballarin, Emanuele, et al.
Published: (2023)
GreenPlanner: Practical Floorplan Layout Generation via an Energy-Aware and Function-Feasible Generative Framework
by: Zeng, Pengyu, et al.
Published: (2025)
by: Zeng, Pengyu, et al.
Published: (2025)
Tree Search for LLM Agent Reinforcement Learning
by: Ji, Yuxiang, et al.
Published: (2025)
by: Ji, Yuxiang, et al.
Published: (2025)
BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting
by: Wang, Weiyan, et al.
Published: (2025)
by: Wang, Weiyan, et al.
Published: (2025)
No-Regret Reinforcement Learning in Smooth MDPs
by: Maran, Davide, et al.
Published: (2024)
by: Maran, Davide, et al.
Published: (2024)
Reinforcement Learning Methods for Neighborhood Selection in Local Search
by: Molinghen, Yannick, et al.
Published: (2026)
by: Molinghen, Yannick, et al.
Published: (2026)
Playing Board Games with the Predict Results of Beam Search Algorithm
by: Pastukhov, Sergey
Published: (2024)
by: Pastukhov, Sergey
Published: (2024)
Frequency maps reveal the correlation between Adversarial Attacks and Implicit Bias
by: Basile, Lorenzo, et al.
Published: (2023)
by: Basile, Lorenzo, et al.
Published: (2023)
In Search for Architectures and Loss Functions in Multi-Objective Reinforcement Learning
by: Terekhov, Mikhail, et al.
Published: (2024)
by: Terekhov, Mikhail, et al.
Published: (2024)
A Survey on Neural Architecture Search Based on Reinforcement Learning
by: Shao, Wenzhu
Published: (2024)
by: Shao, Wenzhu
Published: (2024)
Realizable Abstractions: Near-Optimal Hierarchical Reinforcement Learning
by: Cipollone, Roberto, et al.
Published: (2025)
by: Cipollone, Roberto, et al.
Published: (2025)
BONES: a Benchmark fOr Neural Estimation of Shapley values
by: Napolitano, Davide, et al.
Published: (2024)
by: Napolitano, Davide, et al.
Published: (2024)
Environment-Aware Transfer Reinforcement Learning for Sustainable Beam Selection
by: Salami, Dariush, et al.
Published: (2025)
by: Salami, Dariush, et al.
Published: (2025)
Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles
by: Arrighi, Leonardo, et al.
Published: (2024)
by: Arrighi, Leonardo, et al.
Published: (2024)
Search-Based Credit Assignment for Offline Preference-Based Reinforcement Learning
by: Gao, Xiancheng, et al.
Published: (2025)
by: Gao, Xiancheng, et al.
Published: (2025)
Beyond Inference-Time Search: Reinforcement Learning Synthesizes Reusable Solvers
by: Massoudi, Soheyl, et al.
Published: (2026)
by: Massoudi, Soheyl, et al.
Published: (2026)
Model-Based Reinforcement Learning under Random Observation Delays
by: Karamzade, Armin, et al.
Published: (2025)
by: Karamzade, Armin, et al.
Published: (2025)
FloorSet -- a VLSI Floorplanning Dataset with Design Constraints of Real-World SoCs
by: Mallappa, Uday, et al.
Published: (2024)
by: Mallappa, Uday, et al.
Published: (2024)
Enhancing Chess Reinforcement Learning with Graph Representation
by: Rigaux, Tomas, et al.
Published: (2024)
by: Rigaux, Tomas, et al.
Published: (2024)
Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs
by: Maran, Davide, et al.
Published: (2024)
by: Maran, Davide, et al.
Published: (2024)
Beyond Fixed Frames: Dynamic Character-Aligned Speech Tokenization
by: Della Libera, Luca, et al.
Published: (2026)
by: Della Libera, Luca, et al.
Published: (2026)
Prompted Policy Search: Reinforcement Learning through Linguistic and Numerical Reasoning in LLMs
by: Zhou, Yifan, et al.
Published: (2025)
by: Zhou, Yifan, et al.
Published: (2025)
Online Control of Adaptive Large Neighborhood Search using Deep Reinforcement Learning
by: Reijnen, Robbert, et al.
Published: (2022)
by: Reijnen, Robbert, et al.
Published: (2022)
Tree Search in DAG Space with Model-based Reinforcement Learning for Causal Discovery
by: Darvariu, Victor-Alexandru, et al.
Published: (2023)
by: Darvariu, Victor-Alexandru, et al.
Published: (2023)
Affective and Dynamic Beam Search for Story Generation
by: Huang, Tenghao, et al.
Published: (2023)
by: Huang, Tenghao, et al.
Published: (2023)
Similar Items
-
Advancing Routing-Awareness in Analog ICs Floorplanning
by: Basso, Davide, et al.
Published: (2025) -
Effective Analog ICs Floorplanning with Relational Graph Neural Networks and Reinforcement Learning
by: Basso, Davide, et al.
Published: (2024) -
Fast ML-driven Analog Circuit Layout using Reinforcement Learning and Steiner Trees
by: Basso, Davide, et al.
Published: (2024) -
Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints
by: Scassola, Davide, et al.
Published: (2023) -
Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation
by: Verdù, Federico Julian Camerota, et al.
Published: (2024)