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Found 3 papers, 1 papers with code
Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning
While reinforcement learning has achieved considerable successes in recent years, state-of-the-art models are often still limited by the size of state and action spaces.
Model-based Reinforcement Learning
Recommendation Systems
+2
Step on the Gas? A Better Approach for Recommending the Ethereum Gas Price
In the Ethereum network, miners are incentivized to include transactions in a block depending on the gas price specified by the sender.
Distributed, Parallel, and Cluster Computing
Fast-Fourier-Forecasting Resource Utilisation in Distributed Systems
To address the first challenge, we present a communication-efficient data collection mechanism.
