Local Pairwise Distance Matching for Backpropagation-Free Reinforcement Learning
Fuente:
arXiv
Guardado en:
| Autor principal: | Tanneberg, Daniel |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
por: Keller, Leon, et al.
Publicado: (2025)
por: Keller, Leon, et al.
Publicado: (2025)
SAL: Selective Adaptive Learning for Backpropagation-Free Training with Sparsification
por: Liu, Fanping, et al.
Publicado: (2026)
por: Liu, Fanping, et al.
Publicado: (2026)
Backpropagation-Free Metropolis-Adjusted Langevin Algorithm
por: Cobb, Adam D., et al.
Publicado: (2025)
por: Cobb, Adam D., et al.
Publicado: (2025)
Reinforcement Learning with Pairwise Preferences in Long-Term Decision Problems
por: Carr, Jonathan Colaço, et al.
Publicado: (2026)
por: Carr, Jonathan Colaço, et al.
Publicado: (2026)
Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options
por: Lee, Joongkyu, et al.
Publicado: (2025)
por: Lee, Joongkyu, et al.
Publicado: (2025)
Pairwise Difference Learning for Classification
por: Belaid, Mohamed Karim, et al.
Publicado: (2024)
por: Belaid, Mohamed Karim, et al.
Publicado: (2024)
Practical Boolean Backpropagation
por: Golbert, Simon
Publicado: (2025)
por: Golbert, Simon
Publicado: (2025)
Efficient Epistemic Uncertainty Estimation in Regression Ensemble Models Using Pairwise-Distance Estimators
por: Berry, Lucas, et al.
Publicado: (2023)
por: Berry, Lucas, et al.
Publicado: (2023)
Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients
por: Flügel, Katharina, et al.
Publicado: (2024)
por: Flügel, Katharina, et al.
Publicado: (2024)
Learning without Global Backpropagation via Synergistic Information Distillation
por: Ye, Chenhao, et al.
Publicado: (2025)
por: Ye, Chenhao, et al.
Publicado: (2025)
Stochastic Layer-wise Learning: Scalable and Efficient Alternative to Backpropagation
por: Yin, Bojian, et al.
Publicado: (2025)
por: Yin, Bojian, et al.
Publicado: (2025)
Pairwise Calibrated Rewards for Pluralistic Alignment
por: Halpern, Daniel, et al.
Publicado: (2025)
por: Halpern, Daniel, et al.
Publicado: (2025)
LeanTTA: A Backpropagation-Free and Stateless Approach to Quantized Test-Time Adaptation on Edge Devices
por: Dong, Cynthia, et al.
Publicado: (2025)
por: Dong, Cynthia, et al.
Publicado: (2025)
BAFFLE: A Baseline of Backpropagation-Free Federated Learning
por: Feng, Haozhe, et al.
Publicado: (2023)
por: Feng, Haozhe, et al.
Publicado: (2023)
Controllable Flow Matching for Online Reinforcement Learning
por: Wang, Bin, et al.
Publicado: (2025)
por: Wang, Bin, et al.
Publicado: (2025)
ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines
por: Son, Hwijae
Publicado: (2025)
por: Son, Hwijae
Publicado: (2025)
Entropy-Regularized Adjoint Matching for Offline Reinforcement Learning
por: Ghanem, Abdelghani, et al.
Publicado: (2026)
por: Ghanem, Abdelghani, et al.
Publicado: (2026)
Discrete Flow Matching for Offline-to-Online Reinforcement Learning
por: Khan, Fairoz Nower, et al.
Publicado: (2026)
por: Khan, Fairoz Nower, et al.
Publicado: (2026)
Fast and Featureless Node Representation Learning with Partial Pairwise Supervision
por: Chakraborty, Sujan, et al.
Publicado: (2026)
por: Chakraborty, Sujan, et al.
Publicado: (2026)
Advancing On-Device Neural Network Training with TinyPropv2: Dynamic, Sparse, and Efficient Backpropagation
por: Rüb, Marcus, et al.
Publicado: (2024)
por: Rüb, Marcus, et al.
Publicado: (2024)
HKAN: Hierarchical Kolmogorov-Arnold Network without Backpropagation
por: Dudek, Grzegorz, et al.
Publicado: (2025)
por: Dudek, Grzegorz, et al.
Publicado: (2025)
Dense Backpropagation Improves Training for Sparse Mixture-of-Experts
por: Panda, Ashwinee, et al.
Publicado: (2025)
por: Panda, Ashwinee, et al.
Publicado: (2025)
GRADE: Replacing Policy Gradients with Backpropagation for LLM Alignment
por: Nel, Lukas Abrie
Publicado: (2025)
por: Nel, Lukas Abrie
Publicado: (2025)
Dynamic Spectral Backpropagation for Efficient Neural Network Training
por: Muthuraman, Mannmohan
Publicado: (2025)
por: Muthuraman, Mannmohan
Publicado: (2025)
Exploring the Performance of Perforated Backpropagation through Further Experiments
por: Brenner, Rorry, et al.
Publicado: (2025)
por: Brenner, Rorry, et al.
Publicado: (2025)
A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning
por: Zhang, Hongming, et al.
Publicado: (2021)
por: Zhang, Hongming, et al.
Publicado: (2021)
Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
por: Kong, Lingkai, et al.
Publicado: (2025)
por: Kong, Lingkai, et al.
Publicado: (2025)
Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning
por: Shin, Yongjae, et al.
Publicado: (2026)
por: Shin, Yongjae, et al.
Publicado: (2026)
Approximate Subgraph Matching with Neural Graph Representations and Reinforcement Learning
por: Li, Kaiyang, et al.
Publicado: (2026)
por: Li, Kaiyang, et al.
Publicado: (2026)
Locally Constrained Representations in Reinforcement Learning
por: Nath, Somjit, et al.
Publicado: (2022)
por: Nath, Somjit, et al.
Publicado: (2022)
Bounded-Abstention Pairwise Learning to Rank
por: Ferrara, Antonio, et al.
Publicado: (2025)
por: Ferrara, Antonio, et al.
Publicado: (2025)
Quantifying Multimodal Capabilities: Formal Generalization Guarantees in Pairwise Metric Learning
por: Zhou, Richeng, et al.
Publicado: (2026)
por: Zhou, Richeng, et al.
Publicado: (2026)
Regret-Free Reinforcement Learning for LTL Specifications
por: Majumdar, Rupak, et al.
Publicado: (2024)
por: Majumdar, Rupak, et al.
Publicado: (2024)
Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps
por: Yang, Ningyuan, et al.
Publicado: (2025)
por: Yang, Ningyuan, et al.
Publicado: (2025)
Breaking the Grid: Distance-Guided Reinforcement Learning in Large Discrete Action Spaces
por: Hoppe, Heiko, et al.
Publicado: (2026)
por: Hoppe, Heiko, et al.
Publicado: (2026)
Learning Local Constraints for Reinforcement-Learned Content Generators
por: Bhaumik, Debosmita, et al.
Publicado: (2026)
por: Bhaumik, Debosmita, et al.
Publicado: (2026)
FlowCritic: Bridging Value Estimation with Flow Matching in Reinforcement Learning
por: Zhong, Shan, et al.
Publicado: (2025)
por: Zhong, Shan, et al.
Publicado: (2025)
Epigraph-Guided Flow Matching for Safe and Performant Offline Reinforcement Learning
por: Tayal, Manan, et al.
Publicado: (2026)
por: Tayal, Manan, et al.
Publicado: (2026)
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
por: Jain, Arnav Kumar, et al.
Publicado: (2024)
por: Jain, Arnav Kumar, et al.
Publicado: (2024)
Shift of Pairwise Similarities for Data Clustering
por: Chehreghani, Morteza Haghir
Publicado: (2021)
por: Chehreghani, Morteza Haghir
Publicado: (2021)
Ejemplares similares
-
Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
por: Keller, Leon, et al.
Publicado: (2025) -
SAL: Selective Adaptive Learning for Backpropagation-Free Training with Sparsification
por: Liu, Fanping, et al.
Publicado: (2026) -
Backpropagation-Free Metropolis-Adjusted Langevin Algorithm
por: Cobb, Adam D., et al.
Publicado: (2025) -
Reinforcement Learning with Pairwise Preferences in Long-Term Decision Problems
por: Carr, Jonathan Colaço, et al.
Publicado: (2026) -
Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options
por: Lee, Joongkyu, et al.
Publicado: (2025)