most citedLearning to Bid Long-Term: Multi-Agent Reinforcement Learning with Long-Term and Sparse Reward in Repeated Auction Games

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.LG2022★ 1 cited

Learning to Bid Long-Term: Multi-Agent Reinforcement Learning with Long-Term and Sparse Reward in Repeated Auction Games

Jing Tan, Ramin Khalili, Holger Karl

We propose a multi-agent distributed reinforcement learning algorithm that balances between potentially conflicting short-term reward and sparse, delayed long-term reward, and lear…

math.OC2022

Distributed gradient-based optimization in the presence of dependent aperiodic communication

Adrian Redder, Arunselvan Ramaswamy, Holger Karl

Iterative distributed optimization algorithms involve multiple agents that communicate with each other, over time, in order to minimize/maximize a global objective. In the presence…