Pinned Repositories
HDDCRP_V4
ICONIP_Benchmark
0-RL-GameReviewPapers
review papers in the field of RL and its applications in Games
1-value-function-based-methods-in-RL
Value function based methods in RL
10-multi-agent-in-RL
multi agent and swarm intelligence
11-HRL
Hierarchical Reinforcement learning
12-learn-to-learn
few shot and meta
2-PG-based-method-in-RL
Methods based on policy gradient
3-reward-related-methods-in-RL
3-reward-related-methods-in-RL
4-model-based-RL
model based RL
simayuhe's Repositories
simayuhe/BXLL
simayuhe/Sample-Efficient-Reinforcement-Learning-Using-Graph-Based-Memory-Reconstruction
simayuhe/ICONIP_Benchmark
simayuhe/SampleEfficientRL_GBMR
simayuhe/GraphBasedMemoryReconstruction
simayuhe/GBMR
Graph Based Memory Reconstruction
simayuhe/ucas-covid19
ucas疫情防控每日填报助手
simayuhe/cqc
simayuhe/temp
simayuhe/gnec
simayuhe/NeurIPS2020ESSIcode
simayuhe/compare_with_past
a new method
simayuhe/RL-basic
simayuhe/Robotics
gym robotics : this is a robotic arm which cotains eight envs , lide、FetchPush、FetchPickAndPlace、HandReach、HandManipulateBlock、HandMainpulateEgg、and HandMainpulatePen.
simayuhe/Montezuma-s-Revenge
paper and code about Mentezuma's revenge
simayuhe/ICML2019-papers
papers in ICML 2019
simayuhe/ICLR2020RLpapers
simayuhe/12-learn-to-learn
few shot and meta
simayuhe/11-HRL
Hierarchical Reinforcement learning
simayuhe/10-multi-agent-in-RL
multi agent and swarm intelligence
simayuhe/9-transfer-learning-in-RL
9-transfer-learning-in-RL
simayuhe/8-unsupervised-learning-in-RL
Unsupervised learning in RL
simayuhe/7-attention-memory-in-RL
Attention memory and its application in reinforcement learning algorithm
simayuhe/6-exploration-in-RL
exploration in RL
simayuhe/5-planning-in-RL
Some planning methods in Reinforcement Learning
simayuhe/4-model-based-RL
model based RL
simayuhe/2-PG-based-method-in-RL
Methods based on policy gradient
simayuhe/3-reward-related-methods-in-RL
3-reward-related-methods-in-RL
simayuhe/1-value-function-based-methods-in-RL
Value function based methods in RL
simayuhe/0-RL-GameReviewPapers
review papers in the field of RL and its applications in Games