arXiv:2409.01104
공식 코드 · Papers with Code
AI Olympics challenge with Evolutionary Soft Actor Critic
원문 초록
In the following report, we describe the solution we propose for the AI Olympics competition held at IROS 2024. Our solution is based on a Model-free Deep Reinforcement Learning approach combined with an evolutionary strategy. We will briefly describe the algorithms that have been used and then provide details of the approach
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Deep Reinforcement Learning with Gradient Eligibility Traces
DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty
Explainable AI for Radar Resource Management: Modified LIME in Deep Reinforcement Learning
Multi-Objective Reinforcement Learning for Cognitive Radar Resource Management
Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization
MOORL: A Framework for Integrating Offline-Online Reinforcement Learning
토론
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