Cover Image

Think Before You Act: Decision Transformers with Working Memory

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kang, Jikun, Laroche, Romain, Yuan, Xingdi, Trischler, Adam, Liu, Xue, Fu, Jie
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Think Before You Lie: How Reasoning Leads to Honesty
by: Yuan, Ann, et al.
Published: (2026)

Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models
by: Du, Chengyu, et al.
Published: (2024)

Think Before You Prune: Self-Reflective Structured Pruning for Reasoning Language Models
by: Wang, Ziyan, et al.
Published: (2025)

Policy Improvement using Language Feedback Models
by: Zhong, Victor, et al.
Published: (2024)

LoRA Is Slower Than You Think
by: Ko, Seokmin
Published: (2025)

Working Memory Constraints Scaffold Learning in Transformers under Data Scarcity
by: Madhyastha, Pranava, et al.
Published: (2026)

Think Twice Before You Write -- an Entropy-based Decoding Strategy to Enhance LLM Reasoning
by: He, Jiashu, et al.
Published: (2026)

Read Before You Think: Mitigating LLM Comprehension Failures with Step-by-Step Reading
by: Han, Feijiang, et al.
Published: (2025)

Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
by: Zelikman, Eric, et al.
Published: (2024)

V-STaR: Training Verifiers for Self-Taught Reasoners
by: Hosseini, Arian, et al.
Published: (2024)

Language-guided Skill Learning with Temporal Variational Inference
by: Fu, Haotian, et al.
Published: (2024)

Guiding Language Model Reasoning with Planning Tokens
by: Wang, Xinyi, et al.
Published: (2023)

Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning
by: Wang, Ziyan, et al.
Published: (2025)

Can We Predict Alignment Before Models Finish Thinking? Towards Monitoring Misaligned Reasoning Models
by: Chan, Yik Siu, et al.
Published: (2025)

Think When You Need: Self-Adaptive Chain-of-Thought Learning
by: Yang, Junjie, et al.
Published: (2025)

Reasoning with Sampling: Your Base Model is Smarter Than You Think
by: Karan, Aayush, et al.
Published: (2025)

Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue
by: Zhou, Junkai, et al.
Published: (2023)

Think Before you Write: QA-Guided Reasoning for Character Descriptions in Books
by: Papoudakis, Argyrios, et al.
Published: (2026)

HARP: Hesitation-Aware Reframing in Transformer Inference Pass
by: Storaï, Romain, et al.
Published: (2024)

Beyond the Last Answer: Your Reasoning Trace Uncovers More than You Think
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2025)

CoDAR: Continuous Diffusion Language Models are More Powerful Than You Think
by: Shen, Junzhe, et al.
Published: (2026)

Learning a Decision Tree Algorithm with Transformers
by: Zhuang, Yufan, et al.
Published: (2024)

ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection
by: Kim, Jeonghye, et al.
Published: (2025)

Think Before You Act -- A Neurocognitive Governance Model for Autonomous AI Agents
by: Bandara, Eranga, et al.
Published: (2026)

AdapThink: Adaptive Thinking Preferences for Reasoning Language Model
by: Wan, Xu, et al.
Published: (2025)

LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Models
by: Li, Qianxi, et al.
Published: (2023)

MetaState: Persistent Working Memory Enhances Reasoning in Discrete Diffusion Language Models
by: Xia, Kejing, et al.
Published: (2026)

MoEs Are Stronger than You Think: Hyper-Parallel Inference Scaling with RoE
by: Zibakhsh, Soheil, et al.
Published: (2025)

Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes
by: Luo, Baiting, et al.
Published: (2024)

Think Before You Retrieve: Learning Test-Time Adaptive Search with Small Language Models
by: Vijay, Supriti, et al.
Published: (2025)

Tensor Product Attention Is All You Need
by: Zhang, Yifan, et al.
Published: (2025)

HGMEM: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational Modeling
by: Zhou, Chulun, et al.
Published: (2025)

An Evolved Universal Transformer Memory
by: Cetin, Edoardo, et al.
Published: (2024)

ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy
by: Yang, Zonghan, et al.
Published: (2024)

Thinking Deeper, Not Longer: Depth-Recurrent Transformers for Compositional Generalization
by: Chen, Hung-Hsuan
Published: (2026)

Loop, Think, & Generalize: Implicit Reasoning in Recurrent-Depth Transformers
by: Kohli, Harsh, et al.
Published: (2026)

POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation
by: Qiu, Zeju, et al.
Published: (2026)

LM2: Large Memory Models
by: Kang, Jikun, et al.
Published: (2025)

Look Before You Leap: Autonomous Exploration for LLM Agents
by: Ye, Ziang, et al.
Published: (2026)

More Agents Is All You Need
by: Li, Junyou, et al.
Published: (2024)