Fisher brc

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Offline Reinforcement Learning with Fisher Divergence Critic

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[2103.08050] Offline Reinforcement Learning with Fisher Divergence ...

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google-research/fisher_brc.py at master - Github

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"WebFisher-BRC is an actor critic algorithm for offline reinforcement learning that encourages the learned policy to stay close to the data, namely parameterizing the critic as the log … " - Fisher brc

Fisher brc

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WebOn standard offline RL benchmarks, Fisher-BRC achieves both improved performance and faster convergence over existing state-of-the-art methods. APA Kostrikov, I., Fergus, R., … http://www.rushserve.com/products

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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 …

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