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Found 5 papers, 1 papers with code
Boosting MLPs with a Coarsening Strategy for Long-Term Time Series Forecasting
Deep learning methods have been exerting their strengths in long-term time series forecasting.
Optimal coordination in Minority Game: A solution from reinforcement learning
We reveal that the population is able to reach the optimal allocation when individuals appreciate both the past experience and rewards in the future, and they are able to balance the exploitation of their Q-tables and the exploration by randomly acting.
Hybrid Focal and Full-Range Attention Based Graph Transformers
The core component of FFGT is a new mechanism of compound attention, which combines the conventional full-range attention with K-hop focal attention on ego-nets to aggregate both global and local information.
Decoding trust: A reinforcement learning perspective
In the pairwise scenario, we reveal that high levels of trust and trustworthiness emerge when individuals appreciate both their historical experience and returns in the future.
Quantifying the Global Support Network for Non-State Armed Groups (NAGs)
Human history has been shaped by armed conflicts.
