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Offline Reinforcement Learning with Fisher Divergence Critic ...
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google-research/fisher_brc.py at master - Github
WebWe find that Fisher-BRC yields state-of-the-art performance compared to a variety of existing model-free and model-based RL methods. We further show that while Fisher … WebOn standard offline RL benchmarks, Fisher-BRC achieves both improved performance and faster convergence over existing state-of-the-art methods. Many modern approaches to … WebShira Fisher, Chief Development Officer of BRC, has 20 years of experience in development and relationship building in the non profit sector. Leading BRC’s efforts in … chinese grocery store in round rock tx