Going Beyond Heuristics by Imposing Policy Improvement as a Constraint
Fuente:
arXiv
Saved in:
| Main Authors: | Lee, Chi-Chang, Hong, Zhang-Wei, Agrawal, Pulkit |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization
by: Zhang, Chen Bo Calvin, et al.
Published: (2024)
by: Zhang, Chen Bo Calvin, et al.
Published: (2024)
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints
by: De Cooman, Bram, et al.
Published: (2024)
by: De Cooman, Bram, et al.
Published: (2024)
ROER: Regularized Optimal Experience Replay
by: Li, Changling, et al.
Published: (2024)
by: Li, Changling, et al.
Published: (2024)
Training Language Models via Neural Cellular Automata
by: Lee, Dan, et al.
Published: (2026)
by: Lee, Dan, et al.
Published: (2026)
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
by: Zhang, Cong, et al.
Published: (2022)
by: Zhang, Cong, et al.
Published: (2022)
FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning
by: Agrawal, Pulkit, et al.
Published: (2025)
by: Agrawal, Pulkit, et al.
Published: (2025)
Automatic Environment Shaping is the Next Frontier in RL
by: Park, Younghyo, et al.
Published: (2024)
by: Park, Younghyo, et al.
Published: (2024)
Towards Provable Log Density Policy Gradient
by: Katdare, Pulkit, et al.
Published: (2024)
by: Katdare, Pulkit, et al.
Published: (2024)
Unsupervised Learning of Efficient Exploration: Pre-training Adaptive Policies via Self-Imposed Goals
by: Pappalardo, Octavio
Published: (2026)
by: Pappalardo, Octavio
Published: (2026)
Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay
by: Jagirdar, Hussain, et al.
Published: (2025)
by: Jagirdar, Hussain, et al.
Published: (2025)
Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
by: Wang, Jiaqi, et al.
Published: (2026)
by: Wang, Jiaqi, et al.
Published: (2026)
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)
Bridging the Sim-to-Real Gap for Athletic Loco-Manipulation
by: Fey, Nolan, et al.
Published: (2025)
by: Fey, Nolan, et al.
Published: (2025)
SoftMimic: Learning Compliant Whole-body Control from Examples
by: Margolis, Gabriel B., et al.
Published: (2025)
by: Margolis, Gabriel B., et al.
Published: (2025)
Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective
by: Han, Seungwook, et al.
Published: (2024)
by: Han, Seungwook, et al.
Published: (2024)
Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver
by: Marty, Tom, et al.
Published: (2023)
by: Marty, Tom, et al.
Published: (2023)
Vegetable Peeling: A Case Study in Constrained Dexterous Manipulation
by: Chen, Tao, et al.
Published: (2024)
by: Chen, Tao, et al.
Published: (2024)
Vector Policy Optimization: Training for Diversity Improves Test-Time Search
by: Bahlous-Boldi, Ryan, et al.
Published: (2026)
by: Bahlous-Boldi, Ryan, et al.
Published: (2026)
Embodied Red Teaming for Auditing Robotic Foundation Models
by: Karnik, Sathwik, et al.
Published: (2024)
by: Karnik, Sathwik, et al.
Published: (2024)
Provable and Practical In-Context Policy Optimization for Self-Improvement
by: Yu, Tianrun, et al.
Published: (2026)
by: Yu, Tianrun, et al.
Published: (2026)
IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs
by: Park, Sejun, et al.
Published: (2024)
by: Park, Sejun, et al.
Published: (2024)
Aligning Robot and Human Representations
by: Bobu, Andreea, et al.
Published: (2023)
by: Bobu, Andreea, et al.
Published: (2023)
Policy Constraint by Only Support Constraint for Offline Reinforcement Learning
by: Gao, Yunkai, et al.
Published: (2025)
by: Gao, Yunkai, et al.
Published: (2025)
Value Augmented Sampling for Language Model Alignment and Personalization
by: Han, Seungwook, et al.
Published: (2024)
by: Han, Seungwook, et al.
Published: (2024)
Learning Force Control for Legged Manipulation
by: Portela, Tifanny, et al.
Published: (2024)
by: Portela, Tifanny, et al.
Published: (2024)
Curiosity-driven Red-teaming for Large Language Models
by: Hong, Zhang-Wei, et al.
Published: (2024)
by: Hong, Zhang-Wei, et al.
Published: (2024)
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize
by: Shah, Sanket, et al.
Published: (2023)
by: Shah, Sanket, et al.
Published: (2023)
Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC Control
by: An, Zhiyu, et al.
Published: (2024)
by: An, Zhiyu, et al.
Published: (2024)
Blending Imitation and Reinforcement Learning for Robust Policy Improvement
by: Liu, Xuefeng, et al.
Published: (2023)
by: Liu, Xuefeng, et al.
Published: (2023)
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning
by: Chemingui, Yassine, et al.
Published: (2024)
by: Chemingui, Yassine, et al.
Published: (2024)
Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning
by: Holliday, Andrew, et al.
Published: (2024)
by: Holliday, Andrew, et al.
Published: (2024)
Beyond State-Wise Mirror Descent: Offline Policy Optimization with Parametric Policies
by: Li, Xiang, et al.
Published: (2026)
by: Li, Xiang, et al.
Published: (2026)
Adaptive Learning of Design Strategies over Non-Hierarchical Multi-Fidelity Models via Policy Alignment
by: Agrawal, Akash, et al.
Published: (2024)
by: Agrawal, Akash, et al.
Published: (2024)
Deep SPI: Safe Policy Improvement via World Models
by: Delgrange, Florent, et al.
Published: (2025)
by: Delgrange, Florent, et al.
Published: (2025)
Active Policy Improvement from Multiple Black-box Oracles
by: Liu, Xuefeng, et al.
Published: (2023)
by: Liu, Xuefeng, et al.
Published: (2023)
Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse
by: Queeney, James, et al.
Published: (2022)
by: Queeney, James, et al.
Published: (2022)
Transformers Provably Implement In-Context Reinforcement Learning with Policy Improvement
by: Liang, Haodong, et al.
Published: (2026)
by: Liang, Haodong, et al.
Published: (2026)
Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation
by: Torne, Marcel, et al.
Published: (2024)
by: Torne, Marcel, et al.
Published: (2024)
Few-Shot Task Learning through Inverse Generative Modeling
by: Netanyahu, Aviv, et al.
Published: (2024)
by: Netanyahu, Aviv, et al.
Published: (2024)
Beyond Next Word Prediction: Developing Comprehensive Evaluation Frameworks for measuring LLM performance on real world applications
by: Agrawal, Vishakha, et al.
Published: (2025)
by: Agrawal, Vishakha, et al.
Published: (2025)
Similar Items
-
ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization
by: Zhang, Chen Bo Calvin, et al.
Published: (2024) -
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints
by: De Cooman, Bram, et al.
Published: (2024) -
ROER: Regularized Optimal Experience Replay
by: Li, Changling, et al.
Published: (2024) -
Training Language Models via Neural Cellular Automata
by: Lee, Dan, et al.
Published: (2026) -
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
by: Zhang, Cong, et al.
Published: (2022)