vpg
There are 19 repositories under vpg topic.
dongminlee94/deep_rl
PyTorch implementation of deep reinforcement learning algorithms
Sakib1263/NABNet
NABNet: A Nested Attention-guided BiConvLSTM Network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG Signals
TroddenSpade/Exhaustive-Reinforcement-Learning
Exhaustive Implementation of Algorithms, Key Papers, and Well-Known Problems of Reinforcement Leaning
moabitcoin/cherry-pytorch
Reinforcement Learning Tutorials & other bedtime stories in PyTorch
Wadaboa/cpr-appropriation
Solutions to the Harvest CPR appropriation problem with policy gradient methods and social learning, for Autonomous and Adaptive Systems class at UNIBO
saadsur/PPGFeat
This app takes unfiltered PPG waveform as input and SQI table (Optional) and store single PPG segment.
xffxff/spinningup-cpp
Implement some of the core deep RL algorithms with C++
dodoseung/deep-learning-pytorch
The pytorch implementation of deep learning
akashe/DeepReinforcementLearning
Deep RL implementations. DQN, SAC, DDPG, TD3, PPO and VPG implemented in pytorch. Tested Env: LunarLander-v2 and Pendulum-v0.
Ctiely/RL_example
reinforcement learning examples
a13xe/PolicyGradientAlgorithms
Comparing VPG, TRPO and PPO from Policy Gradient family
JojiJoseph/Deep-RL
Contains deep reinforcement learning algorithms I have implemented.
qwertyforce/reinforcement-learning
experiments with RL in OpenAI Gym
CynthiaKoopman/Reinforcement-Learning
Implementation of selected Reinforcement Learning Algorithms
lousZerto/Zcode
VPG XML Export Formater to CSV
solemn-leader/Reinforce.
Reinforcment learning algorithms
danieladejumo17/VPG-CartPole
Implementation of Vanilla Policy Gradient with Generalized Advatage Estimation in PyTorch. The model here has been trained to solve the Gym CartPole environment.
dodoseung/vpg-vanilla-policy-gradient-pytorch
The pytorch implementation of vpg
macsakini/Vanilla-Policy-Gradient
Pytorch-based python project for continuous reinforcement learning, imitation learning and policy implementation.