Shuo Jiang
ExpertPhD Candidate
Multi-Agent-Reinforcement-Learning-Environment. Hello, I pushed some python environments for Multi Agent Reinforcement Learning.
749PyTorch-Counterfactual-Multi-Agent-Policy-Gradients-COMA. Python
77PyTorch-Deep-Recurrent-Q-Learning-DRQN. Python
42Incremental-Gaussian-Process-Regression-IGPR. Python
16PyTorch-Generative-Adversarial-Imitation-Learning-GAIL. Python
7Recurrent-Soft-Actor-Critic. Python
5PyTorch-Constrained-Policy-Optimization-CPO. Python
4PyTorch-Soft-Q-Learning. Python
4PyTorch-Deep-Deterministic-Policy-Gradient-DDPG. Python
3Artificial-Bee-Colony-Algorithm-ABC. Python
3PyTorch-LSTM. simple LSTM example
2Multi-Robot-Warehouse-Management.
2STM32_HAL_PCA9685_driver. C
2PyTorch-Deep-Lagrangian-Networks-DeLaN. Python
2PyTorch-Soft-Actor-Critic-SAC. Python
1Central_Pattern_Generator_CPG. Python
1von-Mises-Fisher-Distribution. Python
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