Deep RL implementations. DQN, SAC, DDPG, TD3, PPO and VPG implemented in pytorch. Tested Env: LunarLander-v2 and Pendulum-v0.

Project implemented as part of master thesis Semantic segmentation and tracking of human silhouettes on video sequences for heart rate estimation algorithm

This app takes unfiltered PPG waveform as input and SQI table (Optional) and store single PPG segment.

The pytorch implementation of deep learning

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

Contains deep reinforcement learning algorithms I have implemented.

Reinforcment learning algorithms

Pytorch-based python project for continuous reinforcement learning, imitation learning and policy implementation.

Implementation of Vanilla Policy Gradient with Generalized Advatage Estimation in PyTorch. The model here has been trained to solve the Gym CartPole environment.

Exhaustive Implementation of Algorithms, Key Papers, and Well-Known Problems of Reinforcement Leaning

The pytorch implementation of vpg

PyTorch implementation of deep reinforcement learning algorithms

Solutions to the Harvest CPR appropriation problem with policy gradient methods and social learning, for Autonomous and Adaptive Systems class at UNIBO

Implementation of selected Reinforcement Learning Algorithms

Reinforcement Learning Tutorials & other bedtime stories in PyTorch

experiments with RL in OpenAI Gym

VPG XML Export Formater to CSV

Implement some of the core deep RL algorithms with C++

reinforcement learning examples