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

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

reinforcement learning examples

Reinforcement Learning Tutorials & other bedtime stories in PyTorch

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

The pytorch implementation of deep learning

Implementation of selected Reinforcement Learning Algorithms

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

Reinforcment learning algorithms

Contains deep reinforcement learning algorithms I have implemented.

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

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

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.

experiments with RL in OpenAI Gym

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

VPG XML Export Formater to CSV

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