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Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills.

V. Campos, A. Trott, C. Xiong, R. Socher, X. i Nieto, и J. Torres. ICML, том 119 из Proceedings of Machine Learning Research, стр. 1317-1327. PMLR, (2020)

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Henning Trott

Michael Trott

Jana Trott

Johannes Trott

Benjamin Trott

Другие публикации лиц с тем же именем

Interpretable Counting for Visual Question Answering.A. Trott, C. Xiong, и R. Socher. ICLR (Poster), OpenReview.net, (2018)Finding General Equilibria in Many-Agent Economic Simulations Using Deep Reinforcement Learning.M. Curry, A. Trott, S. Phade, Y. Bai, и S. Zheng. CoRR, (2022)Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning.M. Curry, A. Trott, S. Phade, Y. Bai, и S. Zheng. AAMAS, стр. 2760-2762. ACM, (2023)Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills.V. Campos, A. Trott, C. Xiong, R. Socher, X. i Nieto, и J. Torres. ICML, том 119 из Proceedings of Machine Learning Research, стр. 1317-1327. PMLR, (2020)The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies.S. Zheng, A. Trott, S. Srinivasa, N. Naik, M. Gruesbeck, D. Parkes, и R. Socher. CoRR, (2020)Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards.A. Trott, S. Zheng, C. Xiong, и R. Socher. NeurIPS, стр. 10376-10386. (2019)Using Reinforcement Learning to Study Platform Economies under Market Shocks.X. Wang, G. Ma, A. Eden, C. Li, A. Trott, S. Zheng, и D. Parkes. CoRR, (2022)Platform Behavior under Market Shocks: A Simulation Framework and Reinforcement-Learning Based Study.X. Wang, G. Ma, A. Eden, C. Li, A. Trott, S. Zheng, и D. Parkes. WWW, стр. 3592-3602. ACM, (2023)Competitive experience replay.H. Liu, A. Trott, R. Socher, и C. Xiong. ICLR (Poster), OpenReview.net, (2019)Learning to Play General-Sum Games against Multiple Boundedly Rational Agents.E. Zhao, A. Trott, C. Xiong, и S. Zheng. AAAI, стр. 11781-11789. AAAI Press, (2023)

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