Pinned Repositories
A3C
A clean and minimal implementation of A3C (Asynchronous Advantage Actor Critic) algorithm in Pytorch.
adi3e08
Config files for my GitHub profile.
adi3e08.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
CS7150-Project-Soft-Actor-Critic
Final project for CS7150 course.
DDPG
A clean and minimal implementation of DDPG (Deep Deterministic Policy Gradient) algorithm in Pytorch.
DQN
A clean and minimal implementation of DQN (Deep Q Learning) algorithm in Pytorch.
Physics_Informed_Model_Based_RL
We learn the dynamics model of a robot using a physics-informed neural network and use it to train a model-based RL algorithm.
PPO
A clean and minimal implementation of PPO (Proximal Policy Optimization) algorithm in Pytorch, for continuous action spaces.
SAC
A clean and minimal implementation of SAC (Soft Actor Critic) algorithm in Pytorch, for continuous action spaces.
supervised_learning_examples
adi3e08's Repositories
adi3e08/Physics_Informed_Model_Based_RL
We learn the dynamics model of a robot using a physics-informed neural network and use it to train a model-based RL algorithm.
adi3e08/PPO
A clean and minimal implementation of PPO (Proximal Policy Optimization) algorithm in Pytorch, for continuous action spaces.
adi3e08/A3C
A clean and minimal implementation of A3C (Asynchronous Advantage Actor Critic) algorithm in Pytorch.
adi3e08/DDPG
A clean and minimal implementation of DDPG (Deep Deterministic Policy Gradient) algorithm in Pytorch.
adi3e08/SAC
A clean and minimal implementation of SAC (Soft Actor Critic) algorithm in Pytorch, for continuous action spaces.
adi3e08/adi3e08
Config files for my GitHub profile.
adi3e08/adi3e08.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
adi3e08/CS7150-Project-Soft-Actor-Critic
Final project for CS7150 course.
adi3e08/DQN
A clean and minimal implementation of DQN (Deep Q Learning) algorithm in Pytorch.
adi3e08/supervised_learning_examples
adi3e08/tabular_RL