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Cassidy Laidlaw's Projects

advex-uar icon advex-uar

Code for "Testing Robustness Against Unforeseen Adversaries"

amplify-js icon amplify-js

A declarative JavaScript library for application development using cloud services.

auto-attack icon auto-attack

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

boltzmann-policy-distribution icon boltzmann-policy-distribution

Code and pretrained models for the ICLR 2022 paper "The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models"

cleverhans icon cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

cs285-homework icon cs285-homework

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

effective-horizon icon effective-horizon

Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"

fixup icon fixup

A Re-implementation of Fixed-update Initialization

flow icon flow

Adds static typing to JavaScript to improve developer productivity and code quality.

hidden-context icon hidden-context

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

human_aware_rl icon human_aware_rl

Code for "On the Utility of Learning about Humans for Human-AI Coordination"

iframe-sync icon iframe-sync

Seamlessly embed dynamic web applications within a static website

kitsu icon kitsu

🦊 A simple, lightweight & framework agnostic JSON:API client

malmo icon malmo

Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:

overcooked_ai icon overcooked_ai

A benchmark environment for fully cooperative human-AI performance.

perceptual-advex icon perceptual-advex

Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".

playing-it-safe icon playing-it-safe

Code for the paper "Playing it Safe: Adversarial Robustness with an Abstain Option"

pyapns2 icon pyapns2

Python library for interacting with the Apple Push Notification service (APNs) via HTTP/2 protocol

ray icon ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

rdl-ml icon rdl-ml

Machine learning to predict types for RDL https://github.com/plum-umd/rdl

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