rl-paper-study

Reinforcement Learning paper review study

1st paper list

Date	Paper	Presenter	Links
5/11	Playing Atari with Deep Reinforcement Learning, Mnih et al, 2013.	Ingyun Ahn	[paper] [review]
5/11	Dueling Network Architectures for Deep Reinforcement Learning, Wang et al, 2015.	Jaeyoung Ahn	[paper] [review]
5/25	Deep Reinforcement Learning with Double Q-learning, Hasselt et al 2015.	Do-Hoon Kim	[paper] [review]
5/25	Asynchronous Methods for Deep Reinforcement Learning, Mnih et al, 2016.	Seungyoun Shin	[paper] [review]
6/1	Continuous Control With Deep Reinforcement Learning, Lillicrap et al, 2015.	Chris Ohk	[paper] [review]
6/1	Mastering the game of Go with deep neural networks and tree search, D. Silver et al, Nature, 2016.	Minseok Seong	[paper] [review]
6/8	Curiosity-driven Exploration by Self-supervised Prediction, Pathak et al, 2017.	Haneul Choi	[paper] [review]
6/8	Mastering the game of Go without human knowledge, D. Silver et al, Nature, 2017.	Donggu Kang	[paper] [review]
6/22	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model, J. Schrittwieser et al, 2019.	Yunhyeok Kwak	[paper] [review]
6/29	Contextual Decision Processes with low Bellman rank are PAC-Learnable, N. Jiang et al, 2017.	Hoesung Ryu	[paper] [review]
6/29	Evolution Strategies as a Scalable Alternative to Reinforcement Learning, Salimans et al, 2017.	Chanhyuk Park	[paper] [review]
6/29	QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation, Kalashnikov et al, 2018.	Hyecheol (Jerry) Jang	[paper] [review]

2nd paper list

Date	Paper	Presenter	Links
7/27	Deep Recurrent Q-Learning for Partially Observable MDPs, M. Hausknecht et al, 2015.	Minsuk Sung	[paper] [review]
8/3	Hierarchical Visuomotor Control of Humanoids, J. Merel et al, 2018.	Seonghyeon Moon	[paper] [review]
8/10	Learning Dexterous In-Hand Manipulation, M. Andrychowicz et al, 2020.	Ingyun Ahn	[paper] [review]
8/10	Deep Reinforcement Learning with a Natural Language Action Space, J. He et al, 2015.	Jihun Kim	[paper] [review]
8/10	Program Guided Agent, SH. Sun et al, 2020.	Haneul Choi	[paper] [review]
8/24	Trust Region Policy Optimization, J. Schulman et al, 2015.	Chris Ohk	[paper] [review]
8/31	Proximal Policy Optimization Algorithms, J. Schulman et al, 2017.	Chris Ohk	[paper] [review]
8/31	Implementation Matters in Deep RL: A Case Study on PPO and TRPO, L. Engstrom et al, 2020.	Yunhyeok Kwak	[paper] [review]
9/7	Generative Adversarial Imitation Learning, J. Ho et al, 2016.	Hoesung Ryu	[paper] [review]
9/14	Efficient Reductions for Imitation Learning, S. Ross et al, 2010.	Hyecheol (Jerry) Jang	[paper] [review]
9/14	Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow, XB. Peng et al, 2018.	Do-Hoon Kim	[paper] [review]
9/14	Grandmaster Level in StarCraft II using Multi-agent Reinforcement Learning, O. Vinyals et al, 2019.	Donggu Kang	[paper] [review]

3rd paper list

Date	Paper	Presenter	Links
11/9	Trust Region Policy Optimization, J. Schulman et al, 2015.	Chris Ohk	[paper] [review]
TBA	Proximal Policy Optimization Algorithms, J. Schulman et al, 2017.	Chris Ohk	[paper] [review]
TBA	Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games, Y. Xu et al, 2020.	Chris Ohk	[paper] [review]
11/16	Model based Reinforcement Learning for Atari, L. Kaiser et al, 2019.	Sungdong Yoo	[paper] [review]
11/16	High-dimensional Continuous Control using Generalized Advantage Estimation, J. Schulman et al, 2015.	Junyeob Baek	[paper] [review]
11/23	The Option-critic Architecture, PL. Bacon et al, 2017.	Seonghyeon Moon	[paper] [review]
11/23	Rainbow: Combining Improvements in Deep Reinforcement Learning, M. Hessel et al, 2017.	Sungkwon On	[paper] [review]
11/30	Prioritized Experience Replay, T. Schaul et al, 2015.	Donggu Kang	[paper] [review]
11/30	Soft Actor-critic: Off-policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor, T. Haarnoja et al, 2018.	Hyo Jeon	[paper] [review]
12/7	Distributed Prioritized Experience Replay, D. Horgan et al, 2018.	Jungyeon Lee	[paper] [review]
12/7	Impala: Scalable Distributed Deep-RL with Importance Weighted Actor-learner Architectures, L. Espeholt et al, 2018.	Junhyung Kang	[paper] [review]
12/14	A Distributional Perspective on Reinforcement Learning, MG. Bellemare et al, 2017.	Wonwoo Choi	[paper] [review]
12/14	Addressing Function Approximation Error in Actor-critic Methods, S. Fujimoto et al, 2018.	Sooyoung Lee	[paper] [review]
12/21	Action-gap Phenomenon in Reinforcement Learning, A. Farahmand et al, 2011.	Handong Im	[paper] [review]
12/21	Multi-agent Actor-critic for Mixed Cooperative-competitive Environments, R. Lowe et al, 2017.	Juyeon Kim	[paper] [review]
12/28	Second-order Optimization for Deep Reinforcement Learning using Kronecker-factored Approximation, Y. Wu et al, 2017.	Youngjin Jung	[paper] [review]
12/28	Evolution Strategies as a Scalable Alternative to Reinforcement Learning, T. Salimans et al, 2017.	Heemok Ha	[paper] [review]

Contact

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minsuk-sung/rl-paper-study