Awesome AI Agents
π
Papers
π§
Topics
π₯
Trending
πΊοΈ
Map
π
Leaderboards
π
Learn
π€
Ask AI
β―
More
π₯
Authors
π
Reading Packs
π
Datasets
π οΈ
Tools
π°
News
π
Blogs
βοΈ
Newsletter
π―
Research Radar
π
Saved
+ Add Paper
βΎ
β
β authors
Β·
overview
Loading authorβ¦
π€
Ask AI
Martin Tak\'a\v{c β most-cited papers & profile Β· AI Agents
β authors
Β·
overview
Martin Tak\'a\v{c
28
papers Β·
233
citations
Google Scholar β
Semantic Scholar β
OpenAlex β
Most-cited papers
Reinforcement Learning for Solving the Vehicle Routing Problem
2018 Β· 169 citations
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging
2022 Β· 19 citations
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging
2022 Β· 19 citations
A Deep Q-Network for the Beer Game: A Deep Reinforcement Learning algorithm to Solve Inventory Optimization Problems
2017 Β· 16 citations
A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning
2019 Β· 7 citations
Generalising Battery Control in Net-Zero Buildings via Personalised Federated RL
2024 Β· 1 citations
Don't Forget Your Teacher: A Corrective Reinforcement Learning Framework
2019 Β· 1 citations
Distributed Map Classification using Local Observations
2020 Β· 1 citations
Dual Advantage Fields
2026
Privacy from Symmetry: Orthogonally Equivariant Transformers for LLM Inference
2026
Byzantine-Robust Optimization under $(L_0, L_1)$-Smoothness
2026
Exploring New Frontiers in Vertical Federated Learning: the Role of Saddle Point Reformulation
2026
Who to Trust? Aggregating Client Predictions in Federated Distillation
2025
LLM-BABYBENCH: Understanding and Evaluating Grounded Planning and Reasoning in LLMs
2025
Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization
2024
Topics
Federated Learning
Optimization
Policy Gradient
Privacy
Value-Based
Data Heterogeneity
Adversarial ML
Multi-Agent
Safe RL
Offline RL