:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Basnet, Ajhesh
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence I.2.6; I.2.8
Online Access:	https://arxiv.org/abs/2605.24071
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)

Differentiable Symbolic Planning: A Neural Architecture for Constraint Reasoning with Learned Feasibility
by: Oruganti, Venkatakrishna Reddy
Published: (2026)

Safe Reinforcement Learning with Preference-based Constraint Inference
by: Li, Chenglin, et al.
Published: (2026)

GIRL: Generative Imagination Reinforcement Learning via Information-Theoretic Hallucination Control
by: Hiremath, Prakul Sunil
Published: (2026)

Regret-Aware Policy Optimization: Environment-Level Memory for Replay Suppression under Delayed Harm
by: Hiremath, Prakul Sunil
Published: (2026)

On the Generalization Gap in LLM Planning: Tests and Verifier-Reward RL
by: Belcamino, Valerio, et al.
Published: (2026)

AGWM: Affordance-Grounded World Models for Environments with Compositional Prerequisites
by: Zhang, Qinshi, et al.
Published: (2026)

What Do World Models Learn in RL? Probing Latent Representations in Learned Environment Simulators
by: Zhang, Xinyu
Published: (2026)

Embedded Safety-Aligned Intelligence via Differentiable Internal Alignment Embeddings
by: Rathva, Harsh, et al.
Published: (2025)

Working Paper: Active Causal Structure Learning with Latent Variables: Towards Learning to Detour in Autonomous Robots
by: Riscos, Pablo de los, et al.
Published: (2024)

Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
by: Zawalski, Michał, et al.
Published: (2022)

Umbrella Reinforcement Learning -- computationally efficient tool for hard non-linear problems
by: Nuzhin, Egor E., et al.
Published: (2024)

Incentives for Responsiveness, Instrumental Control and Impact
by: Carey, Ryan, et al.
Published: (2020)

Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery
by: Kang, Jiyeon, et al.
Published: (2025)

Adaptable Hindsight Experience Replay for Search-Based Learning
by: Vazaios, Alexandros, et al.
Published: (2025)

CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning
by: Sauter, Andreas W. M., et al.
Published: (2024)

SCULPT: Constraint-Guided Pruned MCTS that Carves Efficient Paths for Mathematical Reasoning
by: Fang, Qitong, et al.
Published: (2026)

On the Limits of Learned Importance Scoring for KV Cache Compression
by: Steele, Brady
Published: (2026)

Scaling Trends for Multi-Hop Contextual Reasoning in Mid-Scale Language Models
by: Steele, Brady, et al.
Published: (2026)

The ARC of Progress towards AGI: A Living Survey of Abstraction and Reasoning
by: Vahdati, Sahar, et al.
Published: (2026)

Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance
by: Silue, Bram, et al.
Published: (2025)

SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks
by: Vincze, Mátyás, et al.
Published: (2024)

The Shortcomings of Force-from-Motion in Robot Learning
by: Aljalbout, Elie, et al.
Published: (2024)

A Framework for Neurosymbolic Robot Action Planning using Large Language Models
by: Capitanelli, Alessio, et al.
Published: (2023)

The Reality Gap in Robotics: Challenges, Solutions, and Best Practices
by: Aljalbout, Elie, et al.
Published: (2025)

The State of Robot Motion Generation
by: Bekris, Kostas E., et al.
Published: (2024)

Achieving Scalable Robot Autonomy via neurosymbolic planning using lightweight local LLM
by: Attolino, Nicholas, et al.
Published: (2025)

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
by: Wang, Zizhao, et al.
Published: (2024)

GoldenStart: Q-Guided Priors and Entropy Control for Distilling Flow Policies
by: Zhang, He, et al.
Published: (2026)

Multi-Task Genetic Algorithm with Multi-Granularity Encoding for Protein-Nucleotide Binding Site Prediction
by: Gao, Yiming, et al.
Published: (2026)

SafeRL-Lite: A Lightweight, Explainable, and Constrained Reinforcement Learning Library
by: Mishra, Satyam, et al.
Published: (2025)

Foundation Models as World Models: A Foundational Study in Text-Based GridWorlds
by: Sasso, Remo, et al.
Published: (2025)

MathLedger: A Verifiable Learning Substrate with Ledger-Attested Feedback
by: Abdullah, Ismail Ahmad
Published: (2025)

Efficient Contextual Preferential Bayesian Optimization with Historical Examples
by: Khan, Farha A., et al.
Published: (2022)

Exploration with Foundation Models: Capabilities, Limitations, and Hybrid Approaches
by: Sasso, Remo, et al.
Published: (2025)

Accuracy, Memory Efficiency and Generalization: A Comparative Study on Liquid Neural Networks and Recurrent Neural Networks
by: Zong, Shilong, et al.
Published: (2025)

Social Interpretable Reinforcement Learning
by: Custode, Leonardo Lucio, et al.
Published: (2024)

Improved Exploration in GFlownets via Enhanced Epistemic Neural Networks
by: Muhammad, Sajan, et al.
Published: (2025)

Perceptron Collaborative Filtering
by: Chakraborty, Arya
Published: (2024)

Learning, Fast and Slow: Towards LLMs That Adapt Continually
by: Tiwari, Rishabh, et al.
Published: (2026)