Adrian Redder

Mitglied - Wissenschaftlicher Mitarbeiter
33098 Paderborn
- Deep Multi-Agent Learning
Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms (preprint)
Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication (ICCART, 2022)
Deep reinforcement learning for scheduling in large-scale networked control systems (NecSys, 2019)
- Distributed Optimization over Networks
Distributed gradient-based optimization in the presence of dependent aperiodic communication (submitted)
Distributed optimization over time-varying networks with stochastic information delays (TAC, 2022)