Pinned Repositories
Benchmark-Efficient-Reinforcement-Learning-with-Demonstrations
Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms include DDPG, PPO.
huashan
icra2017-visual-navigation
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
machine-learning
machine learning in action
QLAB
Quadrotor LAnding Benchmarking (QLAB) is a simulated environment for developing and testing landing algorithms for unmanned aerial vehicles.
xuyuanlovespurs's Repositories
xuyuanlovespurs/Benchmark-Efficient-Reinforcement-Learning-with-Demonstrations
Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms include DDPG, PPO.
xuyuanlovespurs/huashan
xuyuanlovespurs/icra2017-visual-navigation
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
xuyuanlovespurs/machine-learning
machine learning in action
xuyuanlovespurs/QLAB
Quadrotor LAnding Benchmarking (QLAB) is a simulated environment for developing and testing landing algorithms for unmanned aerial vehicles.
xuyuanlovespurs/go-common
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