Summary of Enhancing Decision Transformer with Diffusion-based Trajectory Branch Generation, by Zhihong Liu et al.
Enhancing Decision Transformer with Diffusion-Based Trajectory Branch Generationby Zhihong Liu, Long Qian, Zeyang Liu, Lipeng…
Summary of Continual Task Learning Through Adaptive Policy Self-composition, by Shengchao Hu et al.
Continual Task Learning through Adaptive Policy Self-Compositionby Shengchao Hu, Yuhang Zhou, Ziqing Fan, Jifeng Hu,…
Summary of Amago-2: Breaking the Multi-task Barrier in Meta-reinforcement Learning with Transformers, by Jake Grigsby et al.
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformersby Jake Grigsby, Justin Sasek, Samyak…
Summary of Efficient, Low-regret, Online Reinforcement Learning For Linear Mdps, by Philips George John et al.
Efficient, Low-Regret, Online Reinforcement Learning for Linear MDPsby Philips George John, Arnab Bhattacharyya, Silviu Maniu,…
Summary of An Investigation Of Offline Reinforcement Learning in Factorisable Action Spaces, by Alex Beeson et al.
An Investigation of Offline Reinforcement Learning in Factorisable Action Spacesby Alex Beeson, David Ireland, Giovanni…
Summary of Mitigating Relative Over-generalization in Multi-agent Reinforcement Learning, by Ting Zhu et al.
Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learningby Ting Zhu, Yue Jin, Jeremie Houssineau, Giovanni MontanaFirst…
Summary of Stable Continual Reinforcement Learning Via Diffusion-based Trajectory Replay, by Feng Chen et al.
Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replayby Feng Chen, Fuguang Han, Cong Guan, Lei…
Summary of Adaptive Learning Of Design Strategies Over Non-hierarchical Multi-fidelity Models Via Policy Alignment, by Akash Agrawal (1) et al.
Adaptive Learning of Design Strategies over Non-Hierarchical Multi-Fidelity Models via Policy Alignmentby Akash Agrawal, Christopher…
Summary of Guided Learning: Lubricating End-to-end Modeling For Multi-stage Decision-making, by Jian Guo et al.
Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-makingby Jian Guo, Saizhuo Wang, Yiyan QiFirst submitted…
Summary of Towards Sample-efficiency and Generalization Of Transfer and Inverse Reinforcement Learning: a Comprehensive Literature Review, by Hossein Hassani et al.
Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Reviewby Hossein…