Summary of A Structure-aware Framework For Learning Device Placements on Computation Graphs, by Shukai Duan et al.
A Structure-Aware Framework for Learning Device Placements on Computation Graphsby Shukai Duan, Heng Ping, Nikos…
Summary of Deterministic Policies For Constrained Reinforcement Learning in Polynomial Time, by Jeremy Mcmahan
Deterministic Policies for Constrained Reinforcement Learning in Polynomial Timeby Jeremy McMahanFirst submitted to arxiv on:…
Summary of A Behavior-aware Approach For Deep Reinforcement Learning in Non-stationary Environments Without Known Change Points, by Zihe Liu et al.
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Pointsby Zihe…
Summary of Understanding the Training and Generalization Of Pretrained Transformer For Sequential Decision Making, by Hanzhao Wang et al.
Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Makingby Hanzhao Wang, Yu…
Summary of Variational Delayed Policy Optimization, by Qingyuan Wu et al.
Variational Delayed Policy Optimizationby Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin,…
Summary of Exclusively Penalized Q-learning For Offline Reinforcement Learning, by Junghyuk Yeom et al.
Exclusively Penalized Q-learning for Offline Reinforcement Learningby Junghyuk Yeom, Yonghyeon Jo, Jungmo Kim, Sanghyeon Lee,…
Summary of Offline Reinforcement Learning From Datasets with Structured Non-stationarity, by Johannes Ackermann et al.
Offline Reinforcement Learning from Datasets with Structured Non-Stationarityby Johannes Ackermann, Takayuki Osa, Masashi SugiyamaFirst submitted…
Summary of Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates, by Udayan Mandal et al.
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificatesby Udayan Mandal, Guy Amir, Haoze…
Summary of A Finite Time Analysis Of Distributed Q-learning, by Han-dong Lim et al.
A finite time analysis of distributed Q-learningby Han-Dong Lim, Donghwan LeeFirst submitted to arxiv on:…
Summary of Peac: Unsupervised Pre-training For Cross-embodiment Reinforcement Learning, by Chengyang Ying et al.
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learningby Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu,…