The aim of this repo is to
Referenced Conferences' accepted paper lists
- Reinforcement learning
- Meta learning
- Offline learning
- Federated setting
- Implementation details
- Federated Q-Learning: Linear Regret Speedup with Low Communication Cost
- Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
- COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks [Code]
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- PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
- Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
- Federated Linear Contextual Bandits with User-level Differential Privacy
- The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
- Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence
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main.py: conduct experiments on [Improvements on Percentile].