PyTorch implementation of deep reinforcement learning algorithms

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

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

Reinforcement Learning Tutorials & other bedtime stories in PyTorch

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

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

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

The pytorch implementation of deep learning

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

reinforcement learning examples

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

Comparing VPG, TRPO and PPO from Policy Gradient family

Contains deep reinforcement learning algorithms I have implemented.

experiments with RL in OpenAI Gym

Reinforcment learning algorithms

The pytorch implementation of vpg

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

VPG XML Export Formater to CSV

Implementation of selected Reinforcement Learning Algorithms

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