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adi3e08/README.md

I am currently pursuing a Master’s in Robotics with a Computer Science concentration at Northeastern University. I am interested in robot learning, i. e, endowing robots with the ability to learn to carry out complex tasks in the physical world. To this end, I am interested in deep learning, reinforcement learning (RL) and robotics. In particular, I am interested in RL. Currently, I work on representation learning for RL.

Pinned

  1. Physics_Informed_Model_Based_RL Physics_Informed_Model_Based_RL Public

    We learn the dynamics model of a robot using a physics-informed neural network and use it to train a model-based RL algorithm.

    Python 22 3

  2. SAC SAC Public

    A clean and minimal implementation of SAC (Soft Actor Critic) algorithm in Pytorch, for continuous action spaces.

    Python 1 1

  3. DDPG DDPG Public

    A clean and minimal implementation of DDPG (Deep Deterministic Policy Gradient) algorithm in Pytorch.

    Python 1

  4. PPO PPO Public

    A clean and minimal implementation of PPO (Proximal Policy Optimization) algorithm in Pytorch, for continuous action spaces.

    Python 3