Humans have a remarkable understanding of which states afford which behaviors. We provide a framework that enables RL agents to represent and reason about their environment through the lens of affordances bit.ly/31qjlSv
In this work, we develop a theory of affordances for agents who learn and plan in Markov Decision Processes. Affordances play a dual role. On one hand, they allow faster planning. On the other hand, they facilitate more efficient learning of transition models from data. 2/4
We establish these properties through theoretical results as well as illustrative examples. We also propose an approach to learn affordances from data and use it to estimate partial models that are simpler and generalize better. 3/4
“X papers accepted at Y”
~ What people don’t tell about paper acceptances! ~ A thread #AcademicChatter#phdlife
1/N Many papers that you see accepted now would have been very likely a second or a third submission! That doesn’t mean they are not worthy instead they actually took a lot more work including feedback from multiple reviewers, revisions, skilled rebuttals & perseverance!
2/N Yes, many would have made it in first attempt! They are likely the result of dedicated collaborations with some including structured teams! Again not a bad thing, but don’t feel bad because you are comparing this to you toiling the night oil all by yourself+advisor!
Applying for grad school? Sharing here a few pointers on grad school applications! Pl feel free to share w/ folks who might benefit! Disclaimer: I am not an expert! I came across some questions from different people and I see a pattern, so here we go: #AcademicChatter 0/N
Where to apply? How to do this? Start with a list of schools 3 dream schools, 4 would love to go, 3 safe( will get in most likely)! Google sheets, to do lists, color codes, then marie kondo the hell out of this process! You got this! 1/N
Webpage! I cannot emphasize how nice it is to see a candidates webpage with all information consolidated at one place! I have some students tell me that they don’t have enough content to create a webpage! You need it even more! 2/N
Why is there zero *explicit* training on almost everything that matters a lot in academia except research? Be it reviewing, writing, communication, presentation skills, or even networking. They are left for each to hone & champion majorly by themselves! 1/N
The advisor and peers ofcourse help one develop such skills and get better at these over time! But it is often after many attempts people in later career stages say “I wish someone told me this earlier..” I don’t even believe the entire burden should be on the advisor alone! 2/N
For instance, we complain about reviews, but how much training is given to anyone for reviewing? Poor quality review comments like “sota chasing” “not novel enough” “not deep enough” and even the scale on the reviews is not very helpful for anyone! 3/N
Humans have a remarkable understanding of which states afford which behaviors. We provide a framework that enables RL agents to represent and reason about their environment through the lens of affordances bit.ly/31qjlSv
In this work, we develop a theory of affordances for agents who learn and plan in Markov Decision Processes. Affordances play a dual role. On one hand, they allow faster planning. On the other hand, they facilitate more efficient learning of transition models from data. 2/4
We establish these properties through theoretical results as well as illustrative examples. We also propose an approach to learn affordances from data and use it to estimate partial models that are simpler and generalize better. 3/4