Challenges Solved
- Decentralized Control: Implemented decentralized control policies for multi-intersection traffic management.
- Coordination Challenges: Solved coordination challenges in larger grids using shared context RL (RLlib/PyTorch).
Signal
Reinforcement Learning / Multi-Agent Systems
Technical Depth
- Multi-agent coordination via inter-agent communication.
- Implemented policy optimization in a complex, multi-agent environment.
- Leveraged RLlib for scalable reinforcement learning.
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