Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Yalcinkaya, Beyazit, Lauffer, Niklas, Vazquez-Chanlatte, Marcell, Seshia, Sanjit A. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Provably Correct Automata Embeddings for Optimal Automata-Conditioned Reinforcement Learning
by: Yalcinkaya, Beyazit, et al.
Published: (2025)
by: Yalcinkaya, Beyazit, et al.
Published: (2025)
Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning
by: Yalcinkaya, Beyazit, et al.
Published: (2025)
by: Yalcinkaya, Beyazit, et al.
Published: (2025)
$L^*LM$: Learning Automata from Examples using Natural Language Oracles
by: Vazquez-Chanlatte, Marcell, et al.
Published: (2024)
by: Vazquez-Chanlatte, Marcell, et al.
Published: (2024)
Learning Formal Specifications from Membership and Preference Queries
by: Shah, Ameesh, et al.
Published: (2023)
by: Shah, Ameesh, et al.
Published: (2023)
Automata Extraction from Transformers
by: Zhang, Yihao, et al.
Published: (2024)
by: Zhang, Yihao, et al.
Published: (2024)
Extracting Robust Register Automata from Neural Networks over Data Sequences
by: Hong, Chih-Duo, et al.
Published: (2025)
by: Hong, Chih-Duo, et al.
Published: (2025)
A Detailed Account of Compositional Automata Learning through Alphabet Refinement
by: Henry, Leo, et al.
Published: (2025)
by: Henry, Leo, et al.
Published: (2025)
Inference of Deterministic Finite Automata via Q-Learning
by: Hosseinkhani, Elaheh, et al.
Published: (2025)
by: Hosseinkhani, Elaheh, et al.
Published: (2025)
Congruence-based Learning of Probabilistic Deterministic Finite Automata
by: Carrasco, Matías, et al.
Published: (2024)
by: Carrasco, Matías, et al.
Published: (2024)
SMT-Based Active Learning of Weighted Automata
by: Ferreira, Tiago, et al.
Published: (2026)
by: Ferreira, Tiago, et al.
Published: (2026)
Partial Answer of How Transformers Learn Automata
by: Zhang, Tiantian
Published: (2025)
by: Zhang, Tiantian
Published: (2025)
Active Learning of Symbolic Automata Over Rational Numbers
by: Hagedorn, Sebastian, et al.
Published: (2025)
by: Hagedorn, Sebastian, et al.
Published: (2025)
Warm Starting State-Space Models with Automata Learning
by: Fishell, William, et al.
Published: (2026)
by: Fishell, William, et al.
Published: (2026)
Automata Learning of Preferences over Temporal Logic Formulas from Pairwise Comparisons
by: Rahmani, Hazhar, et al.
Published: (2025)
by: Rahmani, Hazhar, et al.
Published: (2025)
Learning Weighted Finite Automata over the Max-Plus Semiring and its Termination
by: Okudono, Takamasa, et al.
Published: (2024)
by: Okudono, Takamasa, et al.
Published: (2024)
Querying Labeled Time Series Data with Scenario Programs
by: Kim, Edward, et al.
Published: (2025)
by: Kim, Edward, et al.
Published: (2025)
Tractable Offline Learning of Regular Decision Processes
by: Deb, Ahana, et al.
Published: (2024)
by: Deb, Ahana, et al.
Published: (2024)
Scalable Anytime Algorithms for Learning Fragments of Linear Temporal Logic
by: Raha, Ritam, et al.
Published: (2021)
by: Raha, Ritam, et al.
Published: (2021)
Are Agents Probabilistic Automata? A Trace-Based, Memory-Constrained Theory of Agentic AI
by: Koohestani, Roham, et al.
Published: (2025)
by: Koohestani, Roham, et al.
Published: (2025)
Logic-Gated Time-Shared Feedforward Networks for Alternating Finite Automata: Exact Simulation and Learnability
by: Dhayalkar, Sahil Rajesh
Published: (2026)
by: Dhayalkar, Sahil Rajesh
Published: (2026)
Language Generation: Complexity Barriers and Implications for Learning
by: Arenas, Marcelo, et al.
Published: (2025)
by: Arenas, Marcelo, et al.
Published: (2025)
LTL-Constrained Policy Optimization with Cycle Experience Replay
by: Shah, Ameesh, et al.
Published: (2024)
by: Shah, Ameesh, et al.
Published: (2024)
A Constructive Framework for Nondeterministic Automata via Time-Shared, Depth-Unrolled Feedforward Networks
by: Dhayalkar, Sahil Rajesh
Published: (2025)
by: Dhayalkar, Sahil Rajesh
Published: (2025)
MinMax Recurrent Neural Cascades
by: Ronca, Alessandro
Published: (2026)
by: Ronca, Alessandro
Published: (2026)
Robust Probabilistic Model Checking with Continuous Reward Domains
by: Ji, Xiaotong, et al.
Published: (2025)
by: Ji, Xiaotong, et al.
Published: (2025)
Lost in Transmission: When and Why LLMs Fail to Reason Globally
by: Schnabel, Tobias, et al.
Published: (2025)
by: Schnabel, Tobias, et al.
Published: (2025)
Expressive Reward Synthesis with the Runtime Monitoring Language
by: Donnelly, Daniel, et al.
Published: (2025)
by: Donnelly, Daniel, et al.
Published: (2025)
Neural Networks as Universal Finite-State Machines: A Constructive Deterministic Finite Automaton Theory
by: Dhayalkar, Sahil Rajesh
Published: (2025)
by: Dhayalkar, Sahil Rajesh
Published: (2025)
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning
by: Schneider, Tim, et al.
Published: (2023)
by: Schneider, Tim, et al.
Published: (2023)
Analyzing constrained LLM through PDFA-learning
by: Carrasco, Matías, et al.
Published: (2024)
by: Carrasco, Matías, et al.
Published: (2024)
The Sparse Tsetlin Machine: Sparse Representation with Active Literals
by: Østby, Sebastian, et al.
Published: (2024)
by: Østby, Sebastian, et al.
Published: (2024)
Hilbert: Recursively Building Formal Proofs with Informal Reasoning
by: Varambally, Sumanth, et al.
Published: (2025)
by: Varambally, Sumanth, et al.
Published: (2025)
Reasoning about Reasoning: BAPO Bounds on Chain-of-Thought Token Complexity in LLMs
by: Tomlinson, Kiran, et al.
Published: (2026)
by: Tomlinson, Kiran, et al.
Published: (2026)
Finding path and cycle counting formulae in graphs with Deep Reinforcement Learning
by: Piquenot, Jason, et al.
Published: (2024)
by: Piquenot, Jason, et al.
Published: (2024)
The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve?
by: Tang, Zhenheng, et al.
Published: (2025)
by: Tang, Zhenheng, et al.
Published: (2025)
Exploring Major Transitions in the Evolution of Biological Cognition With Artificial Neural Networks
by: Voudouris, Konstantinos, et al.
Published: (2025)
by: Voudouris, Konstantinos, et al.
Published: (2025)
InductionBench: LLMs Fail in the Simplest Complexity Class
by: Hua, Wenyue, et al.
Published: (2025)
by: Hua, Wenyue, et al.
Published: (2025)
Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents
by: Li, Zelong, et al.
Published: (2024)
by: Li, Zelong, et al.
Published: (2024)
FormalAlign: Automated Alignment Evaluation for Autoformalization
by: Lu, Jianqiao, et al.
Published: (2024)
by: Lu, Jianqiao, et al.
Published: (2024)
Mathematical Approach in Automata and Automata Association
by: Maciel, Sergio Henrique
Published: (2020)
by: Maciel, Sergio Henrique
Published: (2020)
Similar Items
-
Provably Correct Automata Embeddings for Optimal Automata-Conditioned Reinforcement Learning
by: Yalcinkaya, Beyazit, et al.
Published: (2025) -
Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning
by: Yalcinkaya, Beyazit, et al.
Published: (2025) -
$L^*LM$: Learning Automata from Examples using Natural Language Oracles
by: Vazquez-Chanlatte, Marcell, et al.
Published: (2024) -
Learning Formal Specifications from Membership and Preference Queries
by: Shah, Ameesh, et al.
Published: (2023) -
Automata Extraction from Transformers
by: Zhang, Yihao, et al.
Published: (2024)