agakshat

AerialRobotics

Contains files for the Aerial Robotics MOOC on Coursera, taught by Prof Vijay Kumar at UPenn

ballbot

Optimal Control and Trajectory Tracking for the Ballbot (Nagarajan et al. 2014)

dagger-pg

Imitation Learning (DAgger) and Policy Gradients (Reinforce, A2C) in PyTorch

emerging-markets

Code used to analyze the political impact of economic institutions, specifically how regime transitions affect growth of GDP and capital

gym_vecenv

Python3 wrapper for running multiple OpenAI Gym environments in parallel

LOLA-pytorch

Implementing the Learning with Opponent Learning Awareness paper (https://blog.openai.com/learning-to-model-other-minds/)

maddpg

Implementation of Multi-Agent Deep Deterministic Policy Gradients

spacefortress

OpenAI Gym compatible reinforcement learning environment for Space Fortress https://arxiv.org/abs/1809.02206

visualdialog-pytorch

Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359

marl_transfer

Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)

agakshat/maddpg

Implementation of Multi-Agent Deep Deterministic Policy Gradients

agakshat/LOLA-pytorch

Implementing the Learning with Opponent Learning Awareness paper (https://blog.openai.com/learning-to-model-other-minds/)

agakshat/AerialRobotics

Contains files for the Aerial Robotics MOOC on Coursera, taught by Prof Vijay Kumar at UPenn

agakshat/visualdialog-pytorch

Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359

agakshat/spacefortress

OpenAI Gym compatible reinforcement learning environment for Space Fortress https://arxiv.org/abs/1809.02206

agakshat/ballbot

Optimal Control and Trajectory Tracking for the Ballbot (Nagarajan et al. 2014)

agakshat/gym_vecenv

Python3 wrapper for running multiple OpenAI Gym environments in parallel

agakshat/emerging-markets

Code used to analyze the political impact of economic institutions, specifically how regime transitions affect growth of GDP and capital

agakshat/dagger-pg

Imitation Learning (DAgger) and Policy Gradients (Reinforce, A2C) in PyTorch

agakshat/tensorflow-ddpg

Implementation of Deep Deterministic Policy Gradients using Tensorflow with Keras

agakshat/multiagent-particle-envs

agakshat/mvp-classifier

Code for training and testing the MVP classifier

agakshat/pymarl

Beta code release for Python Multi-Agent Reinforcement Learning framework

agakshat/agakshat.github.io

My home page

agakshat/alexa-avs-raspberry-pi

This project demonstrates how to access and test the Alexa Voice Service using a Java client (running on a Raspberry Pi), and a Node.js server.

agakshat/DeepRL

Highly modularized implementation of popular deep RL algorithms by PyTorch

agakshat/docs

Documentation for Docker Official Images in docker-library

agakshat/easy21

Implementation of various reinforcement learning methods on the Easy21 game, for David Silver's course

agakshat/evidence-accumulation

Code for safer reinforcement learning by evidence accumulation

agakshat/genai_api_playground

Play around with the capabilities of available LLMs through their APIs

agakshat/genaibasics

Catch up on advances in generative AI, including LLMs, diffusion models, etc.

agakshat/neurohackathon

agakshat/opencv

Open Source Computer Vision Library

agakshat/OpenFace

OpenFace – a state-of-the art open source tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

agakshat/qnets

Q-networks for homework assignment of Deep Reinforcement Learning (10703) at CMU

agakshat/sar_robot_translation

Node that translates generic robot commands to platform-specific robot commands

agakshat/Thruster-Library-for-ROS

ROS node for controlling a thruster, written in Python