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a3c-pytorch-gpu

An implementation of A3C algorithm in PyTorch with GPU support

active-disambiguation

Baselines for Active Information Gathering for Referring Expressions

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

async-dqn

Asynchronous implementation of DQN algorithm in PyTorch

autonomous-vehicle-controller

End-to-end autonomous vehicle controller directly mapping sequence of images to controls

conv-gru

expose

Code for "ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search" accepted at International Conference on Autonomous Agents and Multiagent Systems (AAMAS '23)

fast-rrt-star

Vanilla implementation of Rapidly Exploring Random Tree (RRT), Rapidly Exploring Random Graph (RRG) and Rapidly Exploring Random Tree* (RRT*)

image-clustering-using-expectation-maximization

Clustering images using expectation maximization and k-means

intersection-navigation-using-rrt

Implementation of Rapidly Exploring Random Tree (RRT) algorithm for robot under dynamic environment

mctsnet

An implementation of MCTSnet in PyTorch.

navigation-dqn

A Deep Q-Network trained to safely guide the autonomous car to cross a 4-way intersection in a complex traffic environment.

numpy-cnn-implementation

CNN implementation in numpy. It was given as an assignment for CS5242. Basic operations were provided by CS231n team from their assignment-2.

numpy-neural-network

Implementation of Neural Network in numpy.

phasic-policy-gradient

Fork of repository openai/phasic-policy-gradient

reinforcement-learning-algorithms

Implementation of Reinforcement Learning Algorithms from scratch

rrt-star-in-dynamic-environment

Implementing RRT and RRT* for car like robot in dynamic environment and comparing their performances

scalable-task-scheduler

STASH - A scalable task scheduler based on Kafka

sokoban-solver