Pinned Repositories
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's Repositories
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