most citedDIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training

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cs.AI2024

Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms

Michael Kölle, Yannick Erpelding, Fabian Ritz +3

Recent advances in Multi-Agent Reinforcement Learning have prompted the modeling of intricate interactions between agents in simulated environments. In particular, the predator-pre…