Summary of Domain Adaptation For Offline Reinforcement Learning with Limited Samples, by Weiqin Chen et al.
Domain Adaptation for Offline Reinforcement Learning with Limited Samplesby Weiqin Chen, Sandipan Mishra, Santiago PaternainFirst…
Summary of Leveraging Unlabeled Data Sharing Through Kernel Function Approximation in Offline Reinforcement Learning, by Yen-ru Lai et al.
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learningby Yen-Ru Lai, Fu-Chieh…
Summary of Pareto Inverse Reinforcement Learning For Diverse Expert Policy Generation, by Woo Kyung Kim and Minjong Yoo and Honguk Woo
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generationby Woo Kyung Kim, Minjong Yoo, Honguk…
Summary of Balancing Act: Prioritization Strategies For Llm-designed Restless Bandit Rewards, by Shresth Verma et al.
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewardsby Shresth Verma, Niclas Boehmer, Lingkai Kong,…
Summary of Efficient Exploration and Discriminative World Model Learning with An Object-centric Abstraction, by Anthony Gx-chen et al.
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstractionby Anthony GX-Chen, Kenneth Marino,…
Summary of Using Part-based Representations For Explainable Deep Reinforcement Learning, by Manos Kirtas et al.
Using Part-based Representations for Explainable Deep Reinforcement Learningby Manos Kirtas, Konstantinos Tsampazis, Loukia Avramelou, Nikolaos…
Summary of Knowledge Sharing and Transfer Via Centralized Reward Agent For Multi-task Reinforcement Learning, by Haozhe Ma et al.
Knowledge Sharing and Transfer via Centralized Reward Agent for Multi-Task Reinforcement Learningby Haozhe Ma, Zhengding…
Summary of The Evolution Of Reinforcement Learning in Quantitative Finance: a Survey, by Nikolaos Pippas et al.
The Evolution of Reinforcement Learning in Quantitative Finance: A Surveyby Nikolaos Pippas, Cagatay Turkay, Elliot…
Summary of Offline Model-based Reinforcement Learning with Anti-exploration, by Padmanaba Srinivasan et al.
Offline Model-Based Reinforcement Learning with Anti-Explorationby Padmanaba Srinivasan, William KnottenbeltFirst submitted to arxiv on: 20…
Summary of An End-to-end Reinforcement Learning Based Approach For Micro-view Order-dispatching in Ride-hailing, by Xinlang Yue et al.
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailingby Xinlang Yue, Yiran Liu,…