Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer
Fuente:
arXiv
Saved in:
| Main Authors: | Nguyen, Minh Hoang, Van, Linh Le Pham, Karimpanal, Thommen George, Gupta, Sunil, Le, Hung |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hybrid Cross-domain Robust Reinforcement Learning
by: Van, Linh Le Pham, et al.
Published: (2025)
by: Van, Linh Le Pham, et al.
Published: (2025)
DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-domain Reinforcement Learning
by: Van, Linh Le Pham, et al.
Published: (2025)
by: Van, Linh Le Pham, et al.
Published: (2025)
Policy Learning for Off-Dynamics RL with Deficient Support
by: Van, Linh Le Pham, et al.
Published: (2024)
by: Van, Linh Le Pham, et al.
Published: (2024)
Leveraging Human Feedback for Semantically-Relevant Skill Discovery
by: Hussonnois, Maxence, et al.
Published: (2026)
by: Hussonnois, Maxence, et al.
Published: (2026)
MAGIK: Mapping to Analogous Goals via Imagination-enabled Knowledge Transfer
by: Palattuparambil, Ajsal Shereef, et al.
Published: (2025)
by: Palattuparambil, Ajsal Shereef, et al.
Published: (2025)
Dynamic Policy Fusion for User Alignment Without Re-Interaction
by: Palattuparambil, Ajsal Shereef, et al.
Published: (2024)
by: Palattuparambil, Ajsal Shereef, et al.
Published: (2024)
Variable-Agnostic Causal Exploration for Reinforcement Learning
by: Nguyen, Minh Hoang, et al.
Published: (2024)
by: Nguyen, Minh Hoang, et al.
Published: (2024)
Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting
by: Nguyen, Huu Hiep, et al.
Published: (2026)
by: Nguyen, Huu Hiep, et al.
Published: (2026)
Potential Outcome Rankings for Counterfactual Decision Making
by: Kawakami, Yuta, et al.
Published: (2025)
by: Kawakami, Yuta, et al.
Published: (2025)
On The Statistical Complexity of Offline Decision-Making
by: Nguyen-Tang, Thanh, et al.
Published: (2025)
by: Nguyen-Tang, Thanh, et al.
Published: (2025)
Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari Games
by: Yan, Ke
Published: (2024)
by: Yan, Ke
Published: (2024)
iMoT: Inertial Motion Transformer for Inertial Navigation
by: Nguyen, Son Minh, et al.
Published: (2024)
by: Nguyen, Son Minh, et al.
Published: (2024)
Causal-Aware Generative Adversarial Networks with Reinforcement Learning
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)
Robust Decision Making with Partially Calibrated Forecasts
by: Kiyani, Shayan, et al.
Published: (2025)
by: Kiyani, Shayan, et al.
Published: (2025)
ASPECT:Analogical Semantic Policy Execution via Language Conditioned Transfer
by: Palattuparambil, Ajsal Shereef, et al.
Published: (2026)
by: Palattuparambil, Ajsal Shereef, et al.
Published: (2026)
Constructing Decision Trees from Data Streams
by: Pham, Huy, et al.
Published: (2024)
by: Pham, Huy, et al.
Published: (2024)
Beyond the Frontier: Stochastic Backtracking for Efficient Test-Time Scaling
by: Tran, Dao, et al.
Published: (2026)
by: Tran, Dao, et al.
Published: (2026)
Decision SpikeFormer: Spike-Driven Transformer for Decision Making
by: Huang, Wei, et al.
Published: (2025)
by: Huang, Wei, et al.
Published: (2025)
Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Making
by: Wang, Hanzhao, et al.
Published: (2024)
by: Wang, Hanzhao, et al.
Published: (2024)
Improving Graph Convolutional Networks with Transformer Layer in social-based items recommendation
by: Hoang, Thi Linh, et al.
Published: (2024)
by: Hoang, Thi Linh, et al.
Published: (2024)
VIPER: Visual Perception and Explainable Reasoning for Sequential Decision-Making
by: Aissi, Mohamed Salim, et al.
Published: (2025)
by: Aissi, Mohamed Salim, et al.
Published: (2025)
FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making
by: Wang, Yucen, et al.
Published: (2025)
by: Wang, Yucen, et al.
Published: (2025)
Tree-Sliced Wasserstein Distance: A Geometric Perspective
by: Tran, Viet-Hoang, et al.
Published: (2024)
by: Tran, Viet-Hoang, et al.
Published: (2024)
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
by: Nguyen, Le-Trung, et al.
Published: (2025)
by: Nguyen, Le-Trung, et al.
Published: (2025)
Federated Domain Generalization with Latent Space Inversion
by: Palakkadavath, Ragja, et al.
Published: (2025)
by: Palakkadavath, Ragja, et al.
Published: (2025)
Conformal Prediction and Human Decision Making
by: Hullman, Jessica, et al.
Published: (2025)
by: Hullman, Jessica, et al.
Published: (2025)
Towards Cost Sensitive Decision Making
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Causal Graph Learning via Distributional Invariance of Cause-Effect Relationship
by: Nguyen, Nang Hung, et al.
Published: (2026)
by: Nguyen, Nang Hung, et al.
Published: (2026)
Enhancing Explainability and Reliable Decision-Making in Particle Swarm Optimization through Communication Topologies
by: Gupta, Nitin, et al.
Published: (2025)
by: Gupta, Nitin, et al.
Published: (2025)
From Stochastic Answers to Verifiable Reasoning: Interpretable Decision-Making with LLM-Generated Code
by: Mahesh, Anirudh Jaidev, et al.
Published: (2026)
by: Mahesh, Anirudh Jaidev, et al.
Published: (2026)
Decision Making with Differential Privacy under a Fairness Lens
by: Fioretto, Ferdinando, et al.
Published: (2021)
by: Fioretto, Ferdinando, et al.
Published: (2021)
Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes
by: Luo, Baiting, et al.
Published: (2024)
by: Luo, Baiting, et al.
Published: (2024)
Improving Generalization in Heterogeneous Federated Continual Learning via Spatio-Temporal Gradient Matching with Prototypical Coreset
by: Nguyen, Minh-Duong, et al.
Published: (2025)
by: Nguyen, Minh-Duong, et al.
Published: (2025)
Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making
by: Hsu, Aliyah R., et al.
Published: (2023)
by: Hsu, Aliyah R., et al.
Published: (2023)
What Makes a Good Diffusion Planner for Decision Making?
by: Lu, Haofei, et al.
Published: (2025)
by: Lu, Haofei, et al.
Published: (2025)
DSADF: Thinking Fast and Slow for Decision Making
by: Dou, Zhihao, et al.
Published: (2025)
by: Dou, Zhihao, et al.
Published: (2025)
Generative Models in Decision Making: A Survey
by: Shao, Xinyu, et al.
Published: (2025)
by: Shao, Xinyu, et al.
Published: (2025)
Decomposing Epistemic Uncertainty for Causal Decision Making
by: Rahman, Md Musfiqur, et al.
Published: (2026)
by: Rahman, Md Musfiqur, et al.
Published: (2026)
Online Sequential Decision-Making with Unknown Delays
by: Wu, Ping, et al.
Published: (2024)
by: Wu, Ping, et al.
Published: (2024)
Reward Design for Justifiable Sequential Decision-Making
by: Sukovic, Aleksa, et al.
Published: (2024)
by: Sukovic, Aleksa, et al.
Published: (2024)
Similar Items
-
Hybrid Cross-domain Robust Reinforcement Learning
by: Van, Linh Le Pham, et al.
Published: (2025) -
DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-domain Reinforcement Learning
by: Van, Linh Le Pham, et al.
Published: (2025) -
Policy Learning for Off-Dynamics RL with Deficient Support
by: Van, Linh Le Pham, et al.
Published: (2024) -
Leveraging Human Feedback for Semantically-Relevant Skill Discovery
by: Hussonnois, Maxence, et al.
Published: (2026) -
MAGIK: Mapping to Analogous Goals via Imagination-enabled Knowledge Transfer
by: Palattuparambil, Ajsal Shereef, et al.
Published: (2025)