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[TOC] Title: Reward learning from human preferences and demonstractions in Atari Author: Borja Ibarz et. al. Publish Year: 2018 Review Date: Nov 2021 Summary of paper This needs to be only 1-3 sentences, but it demonstrates that you understand the paper and, moreover, can summarize it more concisely than the author in his abstract. The author proposed a method that uses human expert’s annotation rather than extrinsic reward from the environment to guide the reinforcement learning....

[TOC] Title: Go-Explore: a New Approach for Hard-Exploration Problems Author: Adrien Ecoffet et. al. Publish Year: 2021 Review Date: Nov 2021 Summary of paper This needs to be only 1-3 sentences, but it demonstrates that you understand the paper and, moreover, can summarize it more concisely than the author in his abstract. The author hypothesised that there are two main issues that prevent DRL agents from achieving high score in exploration-hard game (e....

[TOC] [论文简析]SAC: Soft Actor-Critic Part 1[1801.01290] hat means estimation

[TOC] Title: Agent57: Outperforming the Atari Human Benchmark 2020 Author: Adria Badia et. al. Publish Year: 2020 Review Date: Nov 2021 Summary of paper This needs to be only 1-3 sentences, but it demonstrates that you understand the paper and, moreover, can summarize it more concisely than the author in his abstract. Agent57 is the SOTA Atari RL agent in 2020 that can play difficult Atari games like “Montezuma’s Revenge, “Pitfall”, “Solaris” and “Skiing”....

[TOC] Title: Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark Author: Stefan O’Toole et. al. Publish Year: 2021 Review Date: Tue 16 Nov 2021 Summary of paper This needs to be only 1-3 sentences, but it demonstrates that you understand the paper and, moreover, can summarize it more concisely than the author in his abstract. This paper proposed a new width-based planning and learning agent that can play Atari-2600 games (though it cannot play Montezuma’s Revenge)....

[TOC] Title: MINDCRAFT: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks Author: Cristian-Paul Bara et. al. Publish Year: 2021 EMNLP Review Date: 12 Nov 2021 Summary of paper This needs to be only 1-3 sentences, but it demonstrates that you understand the paper and, moreover, can summarize it more concisely than the author in his abstract. The contribution of this paper is the mind modelling dataset (Using Minecraft environment)....