LLM-generated, iteratively refined reward functions guide multi-agent PPO to 100% success in formation control with collision avoidance in a three-agent benchmark.
Impala: Scalable distributed deep-rl with importance weighted actor-learner architec- tures,
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Application of LLM Guided Reinforcement Learning in Formation Control with Collision Avoidance
LLM-generated, iteratively refined reward functions guide multi-agent PPO to 100% success in formation control with collision avoidance in a three-agent benchmark.