data efficient offline reinforcement learning literature survey

PAPER LIST

• Deep Learning on a Data Diet: Finding Important Examples Early in Training
• Dataset Pruning: Reducing Training Data by Examining Generalization Influence
• Impact of Data Pruning on Machine Learning Algorithm Performance
• Data-Efficient Hierarchical Reinforcement Learning
• Beyond neural scaling laws beating power law scaling via data pruning
• Data pruning
• Don't Change the Algorithm, Change the Data Exploratory Data for Offline Reinforcement Learning
• Prioritized Experience Replay
• What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
• Estimating Training Data Influence by Tracing Gradient Descent
• PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
• Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents
• Conservative Q-Learning for Offline Reinforcement Learning
• D4RL: datasets for deep data-driven reinforcement learning
• A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems
• DeepMind Control Suite
• Improving DDPG via Prioritized Experience Replay
• Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
• Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings
• Multi-Task Offline Reinforcement Learning with Conservative Data Sharing
• Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
• Offline RL: Approaching Reinforcement Learning in a data-driven manner
• RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
• Single-Shot Pruning for Offline Reinforcement Learning
• Diversity is all you need: Learning skills without a reward function
• URLB: unsupervised reinforcement learning benchmark
• Aps: Active pretraining with successor feature
• Reinforcement learning with prototypical representations
• Hindsight Experience Replay
• Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data
• Representation Matters: Offline Pretraining for Sequential Decision Making
• Pretraining Representations for Data-Efficient Reinforcement Learning
• Dataset Pruning for Resource-constrained Spoofed Audio Detection
• Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
• Data Valuation for Offline Reinforcement Learning
• Can Wikipedia Help Offline Reinforcement Learning?
• Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning
• DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning
• OFFLINE REINFORCEMENT LEARNING HANDS-ON

TO-DO LIST

• organize papers (eliminate them by reading their abstracts and add new papers by searching for the most relavant and up-to-date literature on this topic
• summarize them with the first pass (abstract, overall idea and figures)
• add link to each paper

TO-DO: My understanding of each paper