rl-paper-study/6th at main · utilForever/rl-paper-study · GitHub

Name		Name	Last commit message	Last commit date
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211011 - Exploration by Random Network Distillation, Y. Bruda et al, 2018.pdf		211011 - Exploration by Random Network Distillation, Y. Bruda et al, 2018.pdf
211018 - Rainbow, Combining Improvements in Deep Reinforcement Learning, M. Hessel et al, 2017.pdf		211018 - Rainbow, Combining Improvements in Deep Reinforcement Learning, M. Hessel et al, 2017.pdf
211018 - Recommending Cryptocurrency Trading Points with Deep Reinforcement Learning Approach, O. Sattarov et al, 2020.pdf		211018 - Recommending Cryptocurrency Trading Points with Deep Reinforcement Learning Approach, O. Sattarov et al, 2020.pdf
211025 - Improving Sample Efficiency in Model-Free Reinforcement Learning from Images, D. Yarats et al, 2019.pdf		211025 - Improving Sample Efficiency in Model-Free Reinforcement Learning from Images, D. Yarats et al, 2019.pdf
211025 - Mastering Visual Continuous Control, Improved Data-Augmented Reinforcement Learning, D. Yarats et al, 2021.pdf		211025 - Mastering Visual Continuous Control, Improved Data-Augmented Reinforcement Learning, D. Yarats et al, 2021.pdf
211101 - BADGR, The Berkeley Autonomous Driving Ground Robot, G. Kahn et al, 2020.pdf		211101 - BADGR, The Berkeley Autonomous Driving Ground Robot, G. Kahn et al, 2020.pdf
211101 - Curiosity-driven Exploration by Self-supervised Prediction, D. Pathak et al, 2017.pdf		211101 - Curiosity-driven Exploration by Self-supervised Prediction, D. Pathak et al, 2017.pdf
211108 - A Graph Placement Methodology for Fast Chip Design, A. Mirhoseini et al, 2021.pdf		211108 - A Graph Placement Methodology for Fast Chip Design, A. Mirhoseini et al, 2021.pdf
211108 - Neural Combinatorial Optimization with Reinforcement Learning, I. Bello et al, 2016.pdf		211108 - Neural Combinatorial Optimization with Reinforcement Learning, I. Bello et al, 2016.pdf
211115 - Deep Reinforcement Learning for Trading, Z. Zhang et al, 2019.pdf		211115 - Deep Reinforcement Learning for Trading, Z. Zhang et al, 2019.pdf
211115 - Reinforcement Learning for Integer Programming, Learning to Cut, Y. Tang et al, 2019.pdf		211115 - Reinforcement Learning for Integer Programming, Learning to Cut, Y. Tang et al, 2019.pdf
211122 - Decision Transformer, Reinforcement Learning via Sequence Modeling, L. Chen et al, 2021.pdf		211122 - Decision Transformer, Reinforcement Learning via Sequence Modeling, L. Chen et al, 2021.pdf
211122 - Reward is Enough, D. Silver et al, 2021.pdf		211122 - Reward is Enough, D. Silver et al, 2021.pdf
211129 - RMA, Rapid Motor Adaptation for Legged Robots, A. Kumar et al, 2021.pdf		211129 - RMA, Rapid Motor Adaptation for Legged Robots, A. Kumar et al, 2021.pdf
211129 - Toward A Thousand Lights, Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control, C. Chen et al, 2020.pdf		211129 - Toward A Thousand Lights, Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control, C. Chen et al, 2020.pdf
README.md		README.md

README.md

6th Study Paper List

Date	Paper	Presenter	Links
10/11	Exploration by Random Network Distillation, Y. Bruda et al, 2018.	Daejin Jo	[paper] [review]
10/11	Deep Reinforcement Learning for Automated Stock Trading: Ensemble Strategy, H. Yang et al, 2020.	Taejun Park	[paper] [review]
10/18	Recommending Cryptocurrency Trading Points with Deep Reinforcement Learning Approach, O. Sattarov et al, 2020.	Chanho Lee	[paper] [review]
10/18	Rainbow: Combining Improvements in Deep Reinforcement Learning, M. Hessel et al, 2017.	Chris Ohk	[paper] [review]
10/25	Improving Sample Efficiency in Model-Free Reinforcement Learning from Images, D. Yarats et al, 2019.	Dongyoung Kim	[paper] [review]
10/25	Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning, D. Yarats et al, 2021.	Donggu Kang	[paper] [review]
11/1	Curiosity-driven Exploration by Self-supervised Prediction, D. Pathak et al, 2017.	Junhwan Kim	[paper] [review]
11/1	BADGR: The Berkeley Autonomous Driving Ground Robot, G. Kahn et al, 2020.	Yunho Kim	[paper] [review]
11/8	A Graph Placement Methodology for Fast Chip Design, A. Mirhoseini et al, 2021.	Dokyoon Yoon	[paper] [review]
11/8	Neural Combinatorial Optimization with Reinforcement Learning, I. Bello et al, 2016.	Seungeon Baek	[paper] [review]
11/15	Deep Reinforcement Learning for Trading, Z. Zhang et al, 2019.	Hyogeun Park	[paper] [review]
11/15	Reinforcement Learning for Integer Programming: Learning to Cut, Y. Tang et al, 2019.	Sungho Kang	[paper] [review]
11/22	Decision Transformer: Reinforcement Learning via Sequence Modeling, L. Chen et al, 2021.	Changman Park	[paper] [review]
11/22	Reward is Enough, D. Silver et al, 2021.	Bongseok Kim	[paper] [review]
11/29	Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control, C. Chen et al, 2020.	Jiho Yeo	[paper] [review]
11/29	RMA: Rapid Motor Adaptation for Legged Robots, A. Kumar et al, 2021.	Hansol Kang	[paper] [review]

Study Member