Research-grade Reinforcement Learning framework for single-agent and multi-agent warehouse navigation using Deep Q-Networks (DQN), PyTorch, replay buffer, target networks, logging, and full test suite. Built for PhD-level RL and autonomous systems research.
machine-learning reinforcement-learning robotics decision-making deep-reinforcement-learning path-planning pytorch dqn multiagent-systems gridworld deep-q-network ai-research target-network autonomous-navigation experience-replay multi-agent-rl cooperative-agents multi-agent-navigation warehouse-robotics
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Updated
Dec 11, 2025 - Python