Rishi Hazra
T2245, Teknikhuset
Örebro University
📢 ✨ I’m actively looking for internships for summer 2024 ✨ 📢
I am a third-year Ph.D. student though Wallenberg AI, Autonomous Systems and Software Program (WASP) graduate school, under the supervision of Professor Luc De Raedt. During my PhD, I also interned at Meta Reality Labs, Seattle under the mentorship of Ruta Desai.
My research seeks to answer the following question: How to enable autonomous agents to learn, reason, and plan? This allows me to explore novel ways of integrating machine learning and symbolic reasoning, via neuro-symbolic approaches, specifically in decision-making in dynamic environments. This fusion empowers AI models to be more robust, transparent, and capable of generalizing to complex tasks.
In 2019, I earned my Master’s degree in AI from Indian Institute of Science (IISc), Bangalore, focusing on Active Learning for NLP applications, under the supervision of Dr. Ambedkar Dukkipati. Following that, I served as a Research Associate in the Statistics and Machine Learning Group at IISc, working on Multi-Agent Reinforcement Learning. Prior to beginning my doctoral journey, I worked with the Natural Understanding group @ Amazon Alexa-AI, Bangalore.
news
| Apr 19, 2024 | Talk on SayCanPay: Planning with LLMs at TAILOR.. |
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| Mar 1, 2024 | Invited talk on Planning & Robotics with LLMs at Bosch Robotics Seminar. Link to Slides. |
| Jan 11, 2024 | Demonstrated our Robot Planning and Manipulation framework at WASP Winter Conference 2024, Norrköping, Sweden . |
| Dec 9, 2023 | Paper accepted at AAAI 2024: SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge. |
| Sep 23, 2023 | Presented DERRL paper at ECML PKDD’23 in Torino, Italy. Link to Slides |
| Jul 14, 2023 | Paper accepted at ICCV 2023: EgoTV: Egocentric Task Verification from Natural Language Task Descriptions. |
| Jun 6, 2023 | Paper accepted at ECML-PKDD 2023: Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approach. |
| May 12, 2023 | Presenting EgoTV: Egocentric Task Verification from Natural Language Task Descriptions at the Embodied AI Seminar in Meta AI (FAIR). |
| Feb 23, 2023 | Position talk on A (Large) Language Model is ALL YOU NEED at the Centre for Applied Autonomous Sensor Systems (AASS), Örebro University |
| Jan 10, 2023 | Presented poster on Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approach at the WASP Winter Conference 2023, Norrköping, Sweden |
| Jul 25, 2022 | Started as Research Science Intern @ Meta Reality Labs, Redmond, Washington under the mentorship of Ruta Desai, Akshara Rai, and Nitin Kamra |
| May 12, 2022 | Chaired Session on Reasoning and Logic @ AAMAS’22 |
academic service
Program Committee & Session Chair for AAMAS'22, Reviewer for ICML'23-24, EACL'23, NeurIPS'22-23, ICLR'24