Amrit Singh Bedi

[News]

• Five papers accepted to ICML 2024 in Vienna, Austria!

  • • On the Possibilities of AI-Generated Text Detection

    • Global Optimality without Mixing Time Oracles in Average-reward RL Multi-level Actor-Critic

    • Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization

    • MaxMin-RLHF: Alignment with Diverse Human Preferences

    • PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling

• New! I have joined as an Assistant Professor in the Computer Science department at the University of Central Florida, USA, in Jan  2024. I am looking for highly motivated PhD students and postdocs to work in the general area of optimization and machine learning. For more details, please check the advertisement here [Hiring! PhD and Postdoc Positions] 

• Paper accepted to ICLR 2024, "PARL: A Unified Framework for Policy Alignment in Reinforcement Learning ".

• Paper accepted to Journal of Machine Learning Research (JMLR), "On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control".

• Paper accepted to Transactions on Machine Learning Research (TMLR), "A Survey on the Possibilities & Impossibilities of AI-generated Text Detection".

• Paper accepted to Journal of Artificial Intelligence Research (JAIR), "Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach"

• Paper accepted to IEEE Transactions of Artificial Intelligence (TAI) "Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding".

• Paper accepted (oral) in CORL 2023: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning. This work also won the Best Paper/Presentation award at the Advances in Multi-Agent Learning workshop at IROS 2023.  

• I will serve as an Area Chair for NeurIPS 2023.

• News article covering our latest research on AI-generated text detection. 

• Paper accepted to IEEE CASE 2023 (conference on Automation Science, and Engineering) with title ``Bi-Level Nonstationary Kernels for Online Gaussian Process Regression"

• Two papers accepted in ICML 2023: 

  • • • STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning

      • Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic  

• New Preprint (Check this link for quick summary):

  • • • Amrit Singh Bedi*, Souradip Chakraborty*, Sicheng Zhu, Bang An, Dinesh Manocha, and Furong Huang. "On the Possibilities of AI-Generated Text Detection" arXiv preprint arXiv:2304.04736 (2023).  

• Received Amazon Research Award 2022 for my proposal "Ensuring fairness via federated learning beyond consensus" at the University of Maryland, College Park.

• Paper accepted in ICLR 2023: SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication

• Three papers accepted in IEEE ICRA 2023 with titles:

  • • • RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments

      • Decentralized Multi-agent Exploration with Limited Inter-agent Communications 

      • Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policy Optimization 

• [Funding] Grant Awarded by Army Research Laboratory on "Efficient Multi-Agent Reinforcement Learning for Next-generation Team of Combat Vehicles" (Principal Investigator)

•  [Funding] Grant Awarded by Army Research Laboratory on "Developing Novel Risk Sensitive Maneuver Tradeoffs for a Team of Ground Vehicles" (Co-Principal Investigator)

• Paper accepted in IEEE TSP with title "Projection-Free Algorithm for Stochastic Bi-level Optimization"

• Two papers (oral) accepted in AAAI 2023 with the titles: 

  • • Posterior Corset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning

    • Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm

• Paper accepted in CORL 2022 with title "HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm"

• Paper accepted in Asilomar 2022 with title "Fast Distributed Beamforming without Receiver Feedback"

• Paper accepted in IEEE CDC 2022 with title "Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming "

• Two papers accepted in IROS 2022 with titles: 

  • • Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation

    • DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments

• Two papers accepted in ICML 2022 (Spotlight Talks (short)) with titles: 

  • • On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces

    • FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning 

• [Funding] Northrop Grumman Seed Grant Award (Principal Investigator)

[List of Publications]