Pinned Repositories
decima-sim
Learning Scheduling Algorithms for Data Processing Clusters
DGL_RL
DREAM
Deep reinforcement learning for REsource Allocation in streaM processing
gnn_rl
GraphSAINT
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
PPO-Economics
Use Proximal Policy Optimization to Solve an Economics Based Environment
pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
RL
RL-Scheduling
Implement job scheduling based on REINFORCE and Graph Embedding.
SR-GNN
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
chenjw259's Repositories
chenjw259/decima-sim
Learning Scheduling Algorithms for Data Processing Clusters
chenjw259/DGL_RL
chenjw259/DREAM
Deep reinforcement learning for REsource Allocation in streaM processing
chenjw259/gnn_rl
chenjw259/GraphSAINT
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
chenjw259/PPO-Economics
Use Proximal Policy Optimization to Solve an Economics Based Environment
chenjw259/pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
chenjw259/RL
chenjw259/RL-Scheduling
Implement job scheduling based on REINFORCE and Graph Embedding.
chenjw259/SR-GNN
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"