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Is independent learning all you need in the starcraft multi-agent challenge?
CS De Witt, T Gupta, D Makoviichuk… - ar** to perform well. However, centralized training and dense rewards are not …
Growing Q-networks: Solving continuous control tasks with adaptive control resolution
Recent reinforcement learning approaches have shown surprisingly strong capabilities of
bang-bang policies for solving continuous control benchmarks. The underlying coarse …
bang-bang policies for solving continuous control benchmarks. The underlying coarse …
Strain design optimization using reinforcement learning
Engineered microbial cells present a sustainable alternative to fossil-based synthesis of
chemicals and fuels. Cellular synthesis routes are readily assembled and introduced into …
chemicals and fuels. Cellular synthesis routes are readily assembled and introduced into …
Intrinsic action tendency consistency for cooperative multi-agent reinforcement learning
Efficient collaboration in the centralized training with decentralized execution (CTDE)
paradigm remains a challenge in cooperative multi-agent systems. We identify divergent …
paradigm remains a challenge in cooperative multi-agent systems. We identify divergent …