Emotion-Inspired Learning Signals (EILS): A Homeostatic Framework for Adaptive Autonomous Agents
Fuente:
arXiv
Saved in:
| Main Author: | Tiwari, Dhruv |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Improved Adaptive PID Optimizer with Enhanced Convergence and Stability for Deep Learning
by: Saini, Saurabh, et al.
Published: (2026)
by: Saini, Saurabh, et al.
Published: (2026)
A Comparison Between Decision Transformers and Traditional Offline Reinforcement Learning Algorithms
by: Caunhye, Ali Murtaza, et al.
Published: (2025)
by: Caunhye, Ali Murtaza, et al.
Published: (2025)
Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic Environments
by: Giannini, Federico, et al.
Published: (2026)
by: Giannini, Federico, et al.
Published: (2026)
Diffusion-MPC in Discrete Domains: Feasibility Constraints, Horizon Effects, and Critic Alignment: Case study with Tetris
by: Wang, Haochuan Kevin
Published: (2026)
by: Wang, Haochuan Kevin
Published: (2026)
Adaptive Negative Scheduling for Graph Contrastive Learning
by: Ali, Adnan, et al.
Published: (2026)
by: Ali, Adnan, et al.
Published: (2026)
Maximizing Rollout Informativeness under a Fixed Budget: A Submodular View of Tree Search for Tool-Use Agentic Reinforcement Learning
by: Hu, Yuelin, et al.
Published: (2026)
by: Hu, Yuelin, et al.
Published: (2026)
A Structural Threshold in Decision Capacity Governs Collapse in Self-Play Reinforcement Learning
by: Kujur, Arahan
Published: (2026)
by: Kujur, Arahan
Published: (2026)
On the Fundamental Limitations of Decentralized Learnable Reward Shaping in Cooperative Multi-Agent Reinforcement Learning
by: Akella, Aditya
Published: (2025)
by: Akella, Aditya
Published: (2025)
Evolving machine learning workflows through interactive AutoML
by: Barbudo, Rafael, et al.
Published: (2024)
by: Barbudo, Rafael, et al.
Published: (2024)
From Imitation to Interaction: Mastering Game of Schnapsen with Shallow Reinforcement Learning
by: Klačan, Ján, et al.
Published: (2026)
by: Klačan, Ján, et al.
Published: (2026)
Learning from Preferences and Mixed Demonstrations in General Settings
by: Brown, Jason R, et al.
Published: (2025)
by: Brown, Jason R, et al.
Published: (2025)
KL-Regularised Q-Learning: A Token-level Action-Value perspective on Online RLHF
by: Brown, Jason R, et al.
Published: (2025)
by: Brown, Jason R, et al.
Published: (2025)
CellARC: Measuring Intelligence with Cellular Automata
by: Lžičař, Miroslav
Published: (2025)
by: Lžičař, Miroslav
Published: (2025)
Normalisation and Initialisation Strategies for Graph Neural Networks in Blockchain Anomaly Detection
by: Duy, Dang Sy, et al.
Published: (2026)
by: Duy, Dang Sy, et al.
Published: (2026)
Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought Reasoning
by: Pather, Kaviraj, et al.
Published: (2025)
by: Pather, Kaviraj, et al.
Published: (2025)
Computational Hardness of Reinforcement Learning with Partial $q^π$-Realizability
by: Karimi, Shayan, et al.
Published: (2025)
by: Karimi, Shayan, et al.
Published: (2025)
Adaptive Minds: Empowering Agents with LoRA-as-Tools
by: Shekar, Pavan C, et al.
Published: (2025)
by: Shekar, Pavan C, et al.
Published: (2025)
Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models
by: Fu, Tianyu, et al.
Published: (2025)
by: Fu, Tianyu, et al.
Published: (2025)
Murphys Laws of AI Alignment: Why the Gap Always Wins
by: Gaikwad, Madhava
Published: (2025)
by: Gaikwad, Madhava
Published: (2025)
The Impact of Data Characteristics on GNN Evaluation for Detecting Fake News
by: Karn, Isha, et al.
Published: (2025)
by: Karn, Isha, et al.
Published: (2025)
OpCode-Based Malware Classification Using Machine Learning and Deep Learning Techniques
by: Saini, Varij, et al.
Published: (2025)
by: Saini, Varij, et al.
Published: (2025)
Can a Bayesian Oracle Prevent Harm from an Agent?
by: Bengio, Yoshua, et al.
Published: (2024)
by: Bengio, Yoshua, et al.
Published: (2024)
SafeRL-Lite: A Lightweight, Explainable, and Constrained Reinforcement Learning Library
by: Mishra, Satyam, et al.
Published: (2025)
by: Mishra, Satyam, et al.
Published: (2025)
Understanding and Tackling Over-Dilution in Graph Neural Networks
by: Lee, Junhyun, et al.
Published: (2025)
by: Lee, Junhyun, et al.
Published: (2025)
Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation
by: Osman, Asim, et al.
Published: (2026)
by: Osman, Asim, et al.
Published: (2026)
Foundation Models as World Models: A Foundational Study in Text-Based GridWorlds
by: Sasso, Remo, et al.
Published: (2025)
by: Sasso, Remo, et al.
Published: (2025)
Modeling and Controlling Deployment Reliability under Temporal Distribution Shift
by: Rahman, Naimur, et al.
Published: (2026)
by: Rahman, Naimur, et al.
Published: (2026)
Exploration with Foundation Models: Capabilities, Limitations, and Hybrid Approaches
by: Sasso, Remo, et al.
Published: (2025)
by: Sasso, Remo, et al.
Published: (2025)
GoldenStart: Q-Guided Priors and Entropy Control for Distilling Flow Policies
by: Zhang, He, et al.
Published: (2026)
by: Zhang, He, et al.
Published: (2026)
Semantic-Constrained Federated Aggregation: Convergence Theory and Privacy-Utility Bounds for Knowledge-Enhanced Distributed Learning
by: Arafat, Jahidul
Published: (2025)
by: Arafat, Jahidul
Published: (2025)
Territory Paint Wars: Diagnosing and Mitigating Failure Modes in Competitive Multi-Agent PPO
by: Singh, Diyansha
Published: (2026)
by: Singh, Diyansha
Published: (2026)
AI Agents: Evolution, Architecture, and Real-World Applications
by: Krishnan, Naveen
Published: (2025)
by: Krishnan, Naveen
Published: (2025)
MAcPNN: Mutual Assisted Learning on Data Streams with Temporal Dependence
by: Giannini, Federico, et al.
Published: (2026)
by: Giannini, Federico, et al.
Published: (2026)
DISC: Dynamic Decomposition Improves LLM Inference Scaling
by: Light, Jonathan, et al.
Published: (2025)
by: Light, Jonathan, et al.
Published: (2025)
STACHE: Local Black-Box Explanations for Reinforcement Learning Policies
by: Elashkin, Andrew, et al.
Published: (2025)
by: Elashkin, Andrew, et al.
Published: (2025)
Sparse Knowledge Distillation: A Mathematical Framework for Probability-Domain Temperature Scaling and Multi-Stage Compression
by: Flouro, Aaron R., et al.
Published: (2026)
by: Flouro, Aaron R., et al.
Published: (2026)
When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
by: Chowdhury, Arindam, et al.
Published: (2025)
by: Chowdhury, Arindam, et al.
Published: (2025)
Generative AI and the Transformation of Software Development Practices
by: Acharya, Vivek
Published: (2025)
by: Acharya, Vivek
Published: (2025)
XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML
by: Estevanell-Valladares, Ernesto L., et al.
Published: (2025)
by: Estevanell-Valladares, Ernesto L., et al.
Published: (2025)
The two clocks and the innovation window: When and how generative models learn rules
by: Wang, Binxu, et al.
Published: (2026)
by: Wang, Binxu, et al.
Published: (2026)
Similar Items
-
An Improved Adaptive PID Optimizer with Enhanced Convergence and Stability for Deep Learning
by: Saini, Saurabh, et al.
Published: (2026) -
A Comparison Between Decision Transformers and Traditional Offline Reinforcement Learning Algorithms
by: Caunhye, Ali Murtaza, et al.
Published: (2025) -
Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic Environments
by: Giannini, Federico, et al.
Published: (2026) -
Diffusion-MPC in Discrete Domains: Feasibility Constraints, Horizon Effects, and Critic Alignment: Case study with Tetris
by: Wang, Haochuan Kevin
Published: (2026) -
Adaptive Negative Scheduling for Graph Contrastive Learning
by: Ali, Adnan, et al.
Published: (2026)