Adversarial Latent-State Training for Robust Policies in Partially Observable Domains
Fuente:
arXiv
Enregistré dans:
| Auteur principal: | Ahuja, Angad Singh |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Guided Policy Optimization under Partial Observability
par: Li, Yueheng, et autres
Publié: (2025)
par: Li, Yueheng, et autres
Publié: (2025)
Near-Optimal Partially Observable Reinforcement Learning with Partial Online State Information
par: Shi, Ming, et autres
Publié: (2023)
par: Shi, Ming, et autres
Publié: (2023)
Benchmarking Partial Observability in Reinforcement Learning with a Suite of Memory-Improvable Domains
par: Tao, Ruo Yu, et autres
Publié: (2025)
par: Tao, Ruo Yu, et autres
Publié: (2025)
Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains
par: Hofmann, Till, et autres
Publié: (2024)
par: Hofmann, Till, et autres
Publié: (2024)
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning
par: Lanier, Michael, et autres
Publié: (2024)
par: Lanier, Michael, et autres
Publié: (2024)
Belief States for Cooperative Multi-Agent Reinforcement Learning under Partial Observability
par: Pritz, Paul J., et autres
Publié: (2025)
par: Pritz, Paul J., et autres
Publié: (2025)
Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs
par: Sheshadri, Abhay, et autres
Publié: (2024)
par: Sheshadri, Abhay, et autres
Publié: (2024)
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
par: Luis, Carlos E., et autres
Publié: (2024)
par: Luis, Carlos E., et autres
Publié: (2024)
Zero-Shot Reinforcement Learning Under Partial Observability
par: Jeen, Scott, et autres
Publié: (2025)
par: Jeen, Scott, et autres
Publié: (2025)
Multi-View Causal Representation Learning with Partial Observability
par: Yao, Dingling, et autres
Publié: (2023)
par: Yao, Dingling, et autres
Publié: (2023)
RecBayes: Recurrent Bayesian Ad Hoc Teamwork in Large Partially Observable Domains
par: Ribeiro, João G., et autres
Publié: (2025)
par: Ribeiro, João G., et autres
Publié: (2025)
Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
par: Nakanishi, Kosuke, et autres
Publié: (2025)
par: Nakanishi, Kosuke, et autres
Publié: (2025)
LLMs for Text-Based Exploration and Navigation Under Partial Observability
par: Sandfuchs, Stephan, et autres
Publié: (2026)
par: Sandfuchs, Stephan, et autres
Publié: (2026)
A Sparsity Principle for Partially Observable Causal Representation Learning
par: Xu, Danru, et autres
Publié: (2024)
par: Xu, Danru, et autres
Publié: (2024)
An Empirical Study on the Power of Future Prediction in Partially Observable Environments
par: Kwon, Jeongyeol, et autres
Publié: (2024)
par: Kwon, Jeongyeol, et autres
Publié: (2024)
Temporal Knowledge-Graph Memory in a Partially Observable Environment
par: Kim, Taewoon, et autres
Publié: (2024)
par: Kim, Taewoon, et autres
Publié: (2024)
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning
par: Zhang, Hongming, et autres
Publié: (2023)
par: Zhang, Hongming, et autres
Publié: (2023)
Explanation-Guided Adversarial Training for Robust and Interpretable Models
par: Chen, Chao, et autres
Publié: (2026)
par: Chen, Chao, et autres
Publié: (2026)
Ignition Phase : Standard Training for Fast Adversarial Robustness
par: Yu-Hang, Wang, et autres
Publié: (2025)
par: Yu-Hang, Wang, et autres
Publié: (2025)
Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI
par: Liu, Tian Yu, et autres
Publié: (2024)
par: Liu, Tian Yu, et autres
Publié: (2024)
Recurrent Deep Reinforcement Learning for Chemotherapy Control under Partial Observability
par: Kiram, Firas Mohamed Elamine, et autres
Publié: (2026)
par: Kiram, Firas Mohamed Elamine, et autres
Publié: (2026)
Why Linear Recurrent Memory Works in Partially Observable Reinforcement Learning
par: Zhao, Yike, et autres
Publié: (2026)
par: Zhao, Yike, et autres
Publié: (2026)
Online Feedback Efficient Active Target Discovery in Partially Observable Environments
par: Sarkar, Anindya, et autres
Publié: (2025)
par: Sarkar, Anindya, et autres
Publié: (2025)
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
par: Allen, Cameron, et autres
Publié: (2024)
par: Allen, Cameron, et autres
Publié: (2024)
Partially Observable Gaussian Process Network and Doubly Stochastic Variational Inference
par: Kiroriwal, Saksham, et autres
Publié: (2025)
par: Kiroriwal, Saksham, et autres
Publié: (2025)
Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies
par: Zhao, Guangyu, et autres
Publié: (2024)
par: Zhao, Guangyu, et autres
Publié: (2024)
Exploring Adversarial Robustness of Deep State Space Models
par: Qi, Biqing, et autres
Publié: (2024)
par: Qi, Biqing, et autres
Publié: (2024)
Ontology-Enhanced Decision-Making for Autonomous Agents in Dynamic and Partially Observable Environments
par: Ghanadbashi, Saeedeh, et autres
Publié: (2024)
par: Ghanadbashi, Saeedeh, et autres
Publié: (2024)
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games
par: Altabaa, Awni, et autres
Publié: (2024)
par: Altabaa, Awni, et autres
Publié: (2024)
A Convolution and Attention Based Encoder for Reinforcement Learning under Partial Observability
par: Wang, Wuhao, et autres
Publié: (2025)
par: Wang, Wuhao, et autres
Publié: (2025)
Defending Against Unforeseen Failure Modes with Latent Adversarial Training
par: Casper, Stephen, et autres
Publié: (2024)
par: Casper, Stephen, et autres
Publié: (2024)
Zero-Sacrifice Persistent-Robustness Adversarial Defense for Pre-Trained Encoders
par: Lei, Zhuxin, et autres
Publié: (2026)
par: Lei, Zhuxin, et autres
Publié: (2026)
Transformer-Based Reinforcement Learning for Autonomous Orbital Collision Avoidance in Partially Observable Environments
par: Georges, Thomas, et autres
Publié: (2026)
par: Georges, Thomas, et autres
Publié: (2026)
Short-Term-to-Long-Term Memory Transfer for Knowledge Graphs under Partial Observability
par: Kim, Taewoon, et autres
Publié: (2026)
par: Kim, Taewoon, et autres
Publié: (2026)
Partial Transportability for Domain Generalization
par: Jalaldoust, Kasra, et autres
Publié: (2025)
par: Jalaldoust, Kasra, et autres
Publié: (2025)
Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives
par: Liu, Wei, et autres
Publié: (2026)
par: Liu, Wei, et autres
Publié: (2026)
Adversarial Training for Robust Coverage Network under Worst-case Facility Losses
par: Miao, Changhao, et autres
Publié: (2026)
par: Miao, Changhao, et autres
Publié: (2026)
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
par: Waseda, Futa, et autres
Publié: (2024)
par: Waseda, Futa, et autres
Publié: (2024)
Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey
par: Schott, Lucas, et autres
Publié: (2024)
par: Schott, Lucas, et autres
Publié: (2024)
Learning to Focus: Prioritizing Informative Histories with Structured Attention Mechanisms in Partially Observable Reinforcement Learning
par: Allegue, Daniel De Dios, et autres
Publié: (2025)
par: Allegue, Daniel De Dios, et autres
Publié: (2025)
Documents similaires
-
Guided Policy Optimization under Partial Observability
par: Li, Yueheng, et autres
Publié: (2025) -
Near-Optimal Partially Observable Reinforcement Learning with Partial Online State Information
par: Shi, Ming, et autres
Publié: (2023) -
Benchmarking Partial Observability in Reinforcement Learning with a Suite of Memory-Improvable Domains
par: Tao, Ruo Yu, et autres
Publié: (2025) -
Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains
par: Hofmann, Till, et autres
Publié: (2024) -
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning
par: Lanier, Michael, et autres
Publié: (2024)