Before revision:  We presented a deep reinforcement learning approach within an agent-based modeling system to characterize cell movement in the embryonic development of C. elegans .
After revision:  We presented a deep reinforcement learning approach within an agent-based modeling system to characterize cell movement in the embryonic development of C. elegans embryogenesis. Our modeling system captures the complexity of cell movement patterns in the embryo and overcomes the local optimization problem encountered by traditional rule-based, ABM that uses greedy algorithms.