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Solving tasks with sparse rewards is one of the most important challenges in reinforcement learning.
An analysis of model-based interval estimation for markov decision processes
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What is intrinsic motivation? a typology of computational approaches
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Formal theory of creativity, fun, and intrinsic motivation (1990–2010)
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Haoran Tang, Rein Houthooft, Davis Foote, Adam Stooke, OpenAI Xi Chen, Yan Duan, John Schulman, Filip DeTurck, and Pieter Abbeel · 2017
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Counterfactual multi-agent policy gradients
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Value-decomposition networks for cooperative multi-agent learning based on team reward
Peter Sunehag, Guy Lever, Audrunas Gruslys, Wojciech Marian Czarnecki, Vinicius Zambaldi, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Joel Z. Leibo, Karl Tuyls, and Thore Graepel · 2018
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Exploration by random network distillation
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Social influence as intrinsic motivation for Multi-Agent deep reinforcement learning
Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Caglar Gulcehre, Pedro A Ortega, D J Strouse, Joel Z Leibo, and Nando de Freitas · 2018
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