Important as it shows with formal proofs how to classify sequences into different levels of difficulty based on computability
Add Washington, DC chapter to README

:heart:
add internal pwl paper on x86 semantics with note
Merge pull request #185 from papers-we-love/add-internal-pwl-paper-on-x86-semantics

add internal pwl paper on x86 semantics with note
Add Montreal chapter
Merge pull request #184 from tokenrove/add-montreal-chapter

Add Montreal chapter
add link to Seattle chapter
Merge pull request #179 from cbilson/master

add link to Seattle chapter
add boston #2
Merge pull request #186 from papers-we-love/add-boston-#2-paper

add paper from boston #2
Update link to a portal with a download and other mirrors
Merge pull request #188 from pselle/fix_broken_logic_and_programming_link

Update link to a portal with a download and other mirrors
I did not see a README in this directory so I just included my reasons
for adding these papers in the commit log.

The dynamic window approach to collision avoidance is an influential
paper for mobile robots. The method is based on a robot's dynamics
rather than higher-level representations of a robot and/or obstacles in
an environment.

The PRM and RRT algorithms are two seminal papers in robot motion
planning. The problem of motion planning scales exponentially with the
degrees of freedom a robot has and the degrees of freedom the obstacles
in an environment have. Thus, planning with high degrees of freedom leads to many problems
such as incompleteness and extremely slow speed. The PRM method was the first to
propose a sampling-based stratey to deal with motion planning and
created a practical methed for offline planning of robot manipulators.
The RRT method modified PRM by using a tree structure rather than a
graph so that non-holonomic and other constraints could be considered
when planning.

The Instantaneous Trajectory Generation method is relatively new, but
very important. It allows for extremely fast trajectory generation for
robots of high degrees of freedom (motion states generated within 1
millisecond). It has been used to implement robot sword fighting and
other activities that require fast reaction-based planning. The author
started a business based simply on the work and has shown the
algorithm's success in many robot applications.
Added paper

Change-Id: Ic2c18dd38d8589033ba659b20f12f4da2cd704bc
adding physics dir & readme for PWLSF#8 paper
Merge pull request #194 from papers-we-love/add_physics

adding PWLSF#8 paper
Merge pull request #191 from jganetsk/master

Added push/enter vs eval/apply paper
Remove St. Louis
Adding README.md and moving all .pdf files to links in the README.md
Removed PDF files