2024 Schedule:

• Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time, [paper], [GNN1], [GNN2]
  • 1/23, Aileen, [slides]
  • 1/30, Giovanni, [slides]
  • 2/8, Giovanni, [slides]
  • 2/15, Soham, [slides]
  
  
• 2/29,Vincent, Informative Path Planning for Mobile Sensing with Reinforcement Learning [paper1], [paper2], [slides]


• 3/7: John and Chris, Learn-as-you-go with Megh: Efficient Live Migration of Virtual Machines [paper1],[paper 2], [paper 3], [slides]


• 3/14: Giovanni, Learning combinatorial optimization algorithms over graphs, [paper], [slides], [codes]


• 3/21: Giovanni, Learning combinatorial optimization algorithms over graphs, [paper], [slides], [codes]


• 3/28: Camila Ramirez Mendoza , My First Pytorch Experience, [slides]


• 4/25: Solving Shortest Path Problem Using Graph Neural Networks, [link]

Related Resources of GNN

• Reinforcement Learning for Combinatorial Optimization: A Survey
• Learning combinatorial optimization on graphs: A survey with applications to networking
• How powerful are graph neural networks?, GitHub
• Stanford CS224W: Machine Learning with Graphs
• PyG: Graph Neural Networks Library

Security Issues in Multi-Agent Reinforcement Learning:

• 3/5/2024
  
  Weaponizing Actions in Multi-Agent Reinforcement Learning: Theoretical and Empirical Study on Security and Robustness, [code]

Adaptive Reward-Poisoning Attacks against Reinforcement Learning


• 3/19/2024
  
  Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
  
  Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments
  
  Robust Policy Gradient against Strong Data Corruption
  
  
• 4/2/2024
  
  Transferable Environment Poisoning: Training-time Attack on Reinforcement Learning
  
  Efficient Reward Poisoning Attacks on Online Deep Rein- forcement Learning
  
  Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning
  
  
• 4/7/2024
  
  Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning
  
  Efficient Reward Poisoning Attacks on Online Deep Rein- forcement Learning
  
  
• 6/11/2024
  
  On the robustness of cooperative multi-agent reinforcement learning
  
  Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning
  
  Multi-Agent Reinforcement Learning Datasets
  
  

Related Resources of RL

• OpenAI's spinning up
• David Silver's course
• Berkeley deep RL
• Practical RL
• Deep Reinforcement Learning by Hung-yi Lee
• Deep-reinforcement-learning-with-pytorch
• Reinforcement Learning Algorithms
• Denny's Reinforcement Learning Github