sriyash421

Pred2Nav

Repository for the paper on crowd prediction models and navigation: https://arxiv.org/abs/2303.01424

APO

Reproducing the paper: Average-Reward Reinforcement Learning with Trust Region Methods

Adversarial-Attention

Implementation of the paper Adversarial Attention Modelling for Multi-dimensional Emotion Regression

Trajectory-Prediction-using-Gaussian-Processes

Algorithms-II

Assignments from the Algorithms-II course

CrowdNav

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

CS60050-ML-Assignments

sriyash421.github.io

Personal Wesbite

tonic

Tonic RL library

alignment

ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward

Athena-backend

Athena-frontend

Brownian-Motion

Code for simulating 1d and 2d Brownian motion

CrowdNav_DSRNN

[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

DistNav

Official repository for the paper "Move Beyond Trajectories: Distribution Space Coupling for Crowd Navigation"

epymarl

An extension of the PyMARL codebase that includes additional algorithms and environment support

football

Check out the new game server:

gcsl

Code for "Learning to Reach Goals via Iterated Supervised Learning"

habitat-lab

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

HEP-AnomalyDetection

hidden-context

Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"

Linear-Algbera

Assignments for Linear Algebra AI61003

pDNN

PreferenceTransformer

Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)

pymarl

Python Multi-Agent Reinforcement Learning framework

RLHive

robotic-warehouse

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

ROT

Code for Watch and Match: Supercharging Imitation with Regularized Optimal Transport

sgan

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

vision-based-prediction

Deep Learning for Vision-based Prediction