Regret-Aware Policy Optimization: Environment-Level Memory for Replay Suppression under Delayed Harm
Fuente:
arXiv
Enregistré dans:
| Auteur principal: | Hiremath, Prakul Sunil |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
GIRL: Generative Imagination Reinforcement Learning via Information-Theoretic Hallucination Control
par: Hiremath, Prakul Sunil
Publié: (2026)
par: Hiremath, Prakul Sunil
Publié: (2026)
Adaptable Hindsight Experience Replay for Search-Based Learning
par: Vazaios, Alexandros, et autres
Publié: (2025)
par: Vazaios, Alexandros, et autres
Publié: (2025)
AGWM: Affordance-Grounded World Models for Environments with Compositional Prerequisites
par: Zhang, Qinshi, et autres
Publié: (2026)
par: Zhang, Qinshi, et autres
Publié: (2026)
What Do World Models Learn in RL? Probing Latent Representations in Learned Environment Simulators
par: Zhang, Xinyu
Publié: (2026)
par: Zhang, Xinyu
Publié: (2026)
AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
par: Yousaf, Iqra
Publié: (2024)
par: Yousaf, Iqra
Publié: (2024)
Fractional Policy Gradients: Reinforcement Learning with Long-Term Memory
par: Pawar, Urvi, et autres
Publié: (2025)
par: Pawar, Urvi, et autres
Publié: (2025)
Differentiable Symbolic Planning: A Neural Architecture for Constraint Reasoning with Learned Feasibility
par: Oruganti, Venkatakrishna Reddy
Publié: (2026)
par: Oruganti, Venkatakrishna Reddy
Publié: (2026)
Embedded Safety-Aligned Intelligence via Differentiable Internal Alignment Embeddings
par: Rathva, Harsh, et autres
Publié: (2025)
par: Rathva, Harsh, et autres
Publié: (2025)
Safe Reinforcement Learning with Preference-based Constraint Inference
par: Li, Chenglin, et autres
Publié: (2026)
par: Li, Chenglin, et autres
Publié: (2026)
Working Paper: Active Causal Structure Learning with Latent Variables: Towards Learning to Detour in Autonomous Robots
par: Riscos, Pablo de los, et autres
Publié: (2024)
par: Riscos, Pablo de los, et autres
Publié: (2024)
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
par: Zawalski, Michał, et autres
Publié: (2022)
par: Zawalski, Michał, et autres
Publié: (2022)
Umbrella Reinforcement Learning -- computationally efficient tool for hard non-linear problems
par: Nuzhin, Egor E., et autres
Publié: (2024)
par: Nuzhin, Egor E., et autres
Publié: (2024)
Incentives for Responsiveness, Instrumental Control and Impact
par: Carey, Ryan, et autres
Publié: (2020)
par: Carey, Ryan, et autres
Publié: (2020)
Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery
par: Kang, Jiyeon, et autres
Publié: (2025)
par: Kang, Jiyeon, et autres
Publié: (2025)
On the Generalization Gap in LLM Planning: Tests and Verifier-Reward RL
par: Belcamino, Valerio, et autres
Publié: (2026)
par: Belcamino, Valerio, et autres
Publié: (2026)
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning
par: Sauter, Andreas W. M., et autres
Publié: (2024)
par: Sauter, Andreas W. M., et autres
Publié: (2024)
Not All Transitions Matter: Evidence from PPO
par: Basnet, Ajhesh
Publié: (2026)
par: Basnet, Ajhesh
Publié: (2026)
GoldenStart: Q-Guided Priors and Entropy Control for Distilling Flow Policies
par: Zhang, He, et autres
Publié: (2026)
par: Zhang, He, et autres
Publié: (2026)
Accuracy, Memory Efficiency and Generalization: A Comparative Study on Liquid Neural Networks and Recurrent Neural Networks
par: Zong, Shilong, et autres
Publié: (2025)
par: Zong, Shilong, et autres
Publié: (2025)
Dynamic Policy Induction for Adaptive Prompt Optimization: Bridging the Efficiency-Accuracy Gap via Lightweight Reinforcement Learning
par: Xu, Jiexi
Publié: (2025)
par: Xu, Jiexi
Publié: (2025)
Efficient Contextual Preferential Bayesian Optimization with Historical Examples
par: Khan, Farha A., et autres
Publié: (2022)
par: Khan, Farha A., et autres
Publié: (2022)
SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks
par: Vincze, Mátyás, et autres
Publié: (2024)
par: Vincze, Mátyás, et autres
Publié: (2024)
Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance
par: Silue, Bram, et autres
Publié: (2025)
par: Silue, Bram, et autres
Publié: (2025)
SCULPT: Constraint-Guided Pruned MCTS that Carves Efficient Paths for Mathematical Reasoning
par: Fang, Qitong, et autres
Publié: (2026)
par: Fang, Qitong, et autres
Publié: (2026)
On the Limits of Learned Importance Scoring for KV Cache Compression
par: Steele, Brady
Publié: (2026)
par: Steele, Brady
Publié: (2026)
Scaling Trends for Multi-Hop Contextual Reasoning in Mid-Scale Language Models
par: Steele, Brady, et autres
Publié: (2026)
par: Steele, Brady, et autres
Publié: (2026)
The ARC of Progress towards AGI: A Living Survey of Abstraction and Reasoning
par: Vahdati, Sahar, et autres
Publié: (2026)
par: Vahdati, Sahar, et autres
Publié: (2026)
SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding
par: Li, Yifei, et autres
Publié: (2025)
par: Li, Yifei, et autres
Publié: (2025)
Photonic AI: A Hybrid Diffractive Holographic Neural System for Passive Optical Real-Time Image Classification
par: Hiremath, Prakul Sunil
Publié: (2026)
par: Hiremath, Prakul Sunil
Publié: (2026)
Resolving Action Bottleneck: Agentic Reinforcement Learning Informed by Token-Level Energy
par: He, Langzhou, et autres
Publié: (2026)
par: He, Langzhou, et autres
Publié: (2026)
Failure Prediction at Runtime for Generative Robot Policies
par: Römer, Ralf, et autres
Publié: (2025)
par: Römer, Ralf, et autres
Publié: (2025)
Learning Nonlinear Regime Transitions via Semi-Parametric State-Space Models
par: Hiremath, Prakul Sunil
Publié: (2026)
par: Hiremath, Prakul Sunil
Publié: (2026)
StepScorer: Accelerating Reinforcement Learning with Step-wise Scoring and Psychological Regret Modeling
par: Xu, Zhe
Publié: (2026)
par: Xu, Zhe
Publié: (2026)
Sketch Decompositions for Classical Planning via Deep Reinforcement Learning
par: Aichmüller, Michael, et autres
Publié: (2024)
par: Aichmüller, Michael, et autres
Publié: (2024)
LeanProgress: Guiding Search for Neural Theorem Proving via Proof Progress Prediction
par: George, Robert Joseph, et autres
Publié: (2025)
par: George, Robert Joseph, et autres
Publié: (2025)
A Parallel Hybrid Action Space Reinforcement Learning Model for Real-world Adaptive Traffic Signal Control
par: Wang, Yuxuan, et autres
Publié: (2025)
par: Wang, Yuxuan, et autres
Publié: (2025)
NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems
par: Núñez-Molina, Carlos, et autres
Publié: (2023)
par: Núñez-Molina, Carlos, et autres
Publié: (2023)
Constrained Auto-Bidding via Generative Response Modeling
par: Yang, Eunseok, et autres
Publié: (2026)
par: Yang, Eunseok, et autres
Publié: (2026)
Learning to Select Goals in Automated Planning with Deep-Q Learning
par: Núñez-Molina, Carlos, et autres
Publié: (2024)
par: Núñez-Molina, Carlos, et autres
Publié: (2024)
The Shortcomings of Force-from-Motion in Robot Learning
par: Aljalbout, Elie, et autres
Publié: (2024)
par: Aljalbout, Elie, et autres
Publié: (2024)
Documents similaires
-
GIRL: Generative Imagination Reinforcement Learning via Information-Theoretic Hallucination Control
par: Hiremath, Prakul Sunil
Publié: (2026) -
Adaptable Hindsight Experience Replay for Search-Based Learning
par: Vazaios, Alexandros, et autres
Publié: (2025) -
AGWM: Affordance-Grounded World Models for Environments with Compositional Prerequisites
par: Zhang, Qinshi, et autres
Publié: (2026) -
What Do World Models Learn in RL? Probing Latent Representations in Learned Environment Simulators
par: Zhang, Xinyu
Publié: (2026) -
AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
par: Yousaf, Iqra
Publié: (2024)