A PPO reinforcement learning agent on a 50x50 grid increases modeled ecosystem service value in the Lake Malawi Basin by reallocating land-cover classes while adding spatial contiguity and buffer constraints.
MOD16A2 MODIS/Terra Net Evapotranspiration 8-Day L4 Global 500m SIN Grid V061
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RL-Driven Sustainable Land-Use Allocation for the Lake Malawi Basin
A PPO reinforcement learning agent on a 50x50 grid increases modeled ecosystem service value in the Lake Malawi Basin by reallocating land-cover classes while adding spatial contiguity and buffer constraints.