Siddharth Srivastava
@sidsrivast
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Scientist. Associate Professor at ASU. Research focus in AI and Robotics. @[email protected]
Joined February 2019
How does logic arise from a real-valued real world? .Our new approach considers this in the context of robot planning, and invents predicates and logic-based models from raw robot trajectories without any annotations. Joint w/ @shah__naman Jayesh Nagpal @pulkit_verma .🧵. 1/4
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RT @shah__naman: And it’s a wrap to an excellent workshop. Thanks to all the invited speakers, panelists, contributors, and co-organizers.….
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RT @nishanthkumar23: Curious to hear about creating generalist robots from leaders in the field? Don’t miss our panel “Representations for….
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RT @AZRegents: Researchers at @ASU are using AI to teach robots how to do jobs that humans don't want. The new technology would make the d….
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RT @rashmeet_nayyar: Excited to announce 8th Workshop on Generalization in Planning (#GenPlan2025) at AAAI (#AAAI2025)! Consider submitting….
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RT @pulkit_verma: I will also present our work on epistemic exploration in non-stationary settings, which shows that it is worth learning a….
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RT @pulkit_verma: I'll present our work "Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Settings" at #ICAP….
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Congratulations to @pulkit_verma!! His dissertation helped kickstart the emerging area of user-driven assessment of AI systems that can learn and plan.
I got hooded recently. It was great to have my parents with me, who have been incredibly patient and supportive throughout my PhD journey. And, of course, thanks to @sidsrivast, without whose amazing mentorship, this would not have been possible. @SCAI_ASU #ASUgrad #PhDone
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RT @pulkit_verma: I got hooded recently. It was great to have my parents with me, who have been incredibly patient and supportive throughou….
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Congratulations to Dr. @shah__naman for a successful PhD defense and a great dissertation talk! 🥳🍾🎉 . A special thanks to the committee, George Konidaris, @rao2z, Alberto Speranzon and Yu Zhang!
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Congratulations to Dr. @pulkit_verma for completing his dissertation with a fabulous presentation and defense today! 🍾🎇🥳. Here's a big thanks to the committee members: Nancy Cooke, Georgios Fainekos, and Yu Zhang for all their time and effort along the way!
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RT @hasti_seifi: I am looking to recruit several PhD students in human-robot interaction, accessibility, haptics, and virtual reality for f….
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RT @pulkit_verma: The program for the #AAAI 2024 Spring Symposium on User-Aligned Assessment of Adaptive AI Systems is now available. We….
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RT @SCAI_ASU: Congrats to #SCAI Associate Professor @sidsrivast who has been named a Scialog Fellow by @RCSA1. As one of only approximately….
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We're looking forward to developing this approach for more general settings, including stochasticity, partial observability, and active learning, to make the overall approach more robust. Paper: 4/4.
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Interestingly, the auto-invented predicate and actions turn out to be richer and go beyond classical (human-intuition driven) notions of high-level actions!. 3/4.
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Results indicate that the learned logic generalizes well, allowing the agent to solve more complex problems with many more objects and longer horizons without the need for reward shaping or hand-crafted representations. We focus on deterministic settings as a starting point. 2/4.
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RT @AvivTamar1: @wielandbr Very cool work!.We also have an ICLR paper on compositional generalization in RL, with a….
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I'll also be around our paper this evening (poster #1510) and at the GenPlan workshop on Saturday:
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