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Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning

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Byzantine Fault-Tolerance in Federated Local SGD Under 2f-Redundancy

Nirupam Gupta

In this article, we study the problem of Byzantine fault-tolerance in a federated optimization setting, where there is a group of agents communicating with a centralized coordinator. We allow up to

f

Byzantine-faulty agents, which may not follow a prescr ...

Piscataway2023

Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning

Graph Chatbot

Chattez avec Graph Search

Alternation makes the adversary weaker in two-player games

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units

Byzantine Fault-Tolerance in Federated Local SGD Under 2f-Redundancy

Scalable Multi-agent Coordination and Resource Sharing

Opinion Formation over Adaptive Networks

Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation

Exploiting environmental signals to enable policy correlation in large-scale decentralized systems

Meta Navigation Functions: Adaptive Associations for Coordination of Multi-Agent Systems

No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation

Improved Cooperation by Exploiting a Common Signal

Alternation makes the adversary weaker in two-player games

Scalable Multi-agent Coordination and Resource Sharing

Byzantine Fault-Tolerance in Federated Local SGD Under 2f-Redundancy

Meta Navigation Functions: Adaptive Associations for Coordination of Multi-Agent Systems

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units

Opinion Formation over Adaptive Networks

Exploiting environmental signals to enable policy correlation in large-scale decentralized systems

Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation

No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation

Improved Cooperation by Exploiting a Common Signal