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@ -10,21 +10,21 @@ Description: A list of my research Projects
## Planning under Uncertainty
During my PhD I have been primarily focused on investigating planning and sequential decision
making under uncertainty through integrative methods:
- With [Selmer Bringsjord](https://homepages.rpi.edu/~brings/) in the [RAIR Lab](https://rair.cogsci.rpi.edu/) I have looked at planning through automated reasoning.
making under uncertainty:
- I created a new framework which allows agents to make plans under *qualitative uncertainty*.
This helps in settings where the user doesn't have exact probabilities that various
facts holds, but can instead bucket them into different likelihood values.
This work is supervised under [Selmer Bringsjord](https://homepages.rpi.edu/~brings/).
- Additionally with Selmer Bringsjord in the [RAIR Lab](https://rair.cogsci.rpi.edu/), I have looked at planning through automated reasoning.
I further developed [Spectra](https://github.com/rairlab/spectra) and the underlying
planning with formulas framework to show classes of uncertainty problems that
are easy to encode. Additionally, I wrote a QA algorithm for ShadowProver to integrate to Spectra
for planning under epistemic uncertatinty.
- With [Junkyu Lee](https://researcher.ibm.com/researcher/view.php?person=ibm-Junkyu.Lee),
[Michael Katz](https://researcher.watson.ibm.com/researcher/view.php?person=ibm-Michael.Katz1),
[Harsha Kokel](https://research.ibm.com/people/harsha-kokel), and [Shirin Sohrabi](https://researcher.watson.ibm.com/researcher/view.php?person=us-ssohrab) at IBM I developed an algorithm
[Harsha Kokel](https://harshakokel.com/), and [Shirin Sohrabi](https://researcher.watson.ibm.com/researcher/view.php?person=us-ssohrab) at IBM I developed an algorithm
for guiding hiearchical reinforcement agents under partial observability when domain knowledge
can be encoded for characterizing discovery of unknown predicates. This techinque
uses a fully-observable non-deterministic planner to generate a high-level policy
where each high-level action is an option that a reinforcement learning agent
needs to learn.
- More to come...
can be encoded for characterizing discovery of unknown predicates.
## Logic
@ -35,8 +35,10 @@ work on problems from the underlying logic formalisms,
unification algorithms, to building
tools for interactive theorem provers.
- With Andrew Marshall and Kimberly Cornell, we're currently developing a new syntactic AC algorithm.
- With Thomas Ferguson and James Oswald we formalized a model theory for a fragment of the Deontic Cognitive Event Calculus.
- With [Andrew Tedder](https://sites.google.com/view/andrewjtedder/research), I'm currently working
on building a tool that checks if matrix models of given logic satisfies relevance properties.
- With [Andrew Marshall](https://www.marshallandrew.net/) and [Kimberly Cornell](https://www.albany.edu/cehc/faculty/kimberly-cornell), we're currently developing a new syntactic AC algorithm.
- With [Thomas Ferguson](https://faculty.rpi.edu/thomas-ferguson) and [James Oswald](https://jamesoswald.dev) we formalized a model theory for a fragment of the Deontic Cognitive Event Calculus.
- With James Oswald we've built interactive theorem provers and showed validity of large proofs in parallel using a high performance cluster.
@ -65,7 +67,7 @@ Collaborators:
- NRL: Catherine Meadows
- UMW: [Andrew Marshall](https://www.marshallandrew.net/)
- UT Dallas: Serdar Erbatur
- SUNY Albany: [Paliath Narendran](https://www.cs.albany.edu/~dran/) and Kimberly Cornell
- SUNY Albany: [Paliath Narendran](https://www.cs.albany.edu/~dran/) and [Kimberly Cornell](https://www.albany.edu/cehc/faculty/kimberly-cornell)
- Clarkson University: [Christopher Lynch](https://people.clarkson.edu/~clynch/) and Hai Lin