News

  • Nov 12, 2019: We posted our new blogpost on "Controlling Assistive Robots with Learned Latent Actions".
  • Oct 28, 2019: We posted our new blogpost on "Learning from My Partner's Actions: Roles in Decentralized Robot Teams".
  • Oct 24, 2019: TechXplore compiled a story about our work "Asking Easy Questions: A User-Friendly Approach to Active Reward Learning". Check it out here!
  • Sep 20, 2019: Check our R-AL submission about controlling assistive robots on arXiv.
  • Sep 11, 2019: Our papers titled "Asking Easy Questions: A User-Friendly Approach to Active Reward Learning", and "Learning from My Partner's Actions: Roles in Decentralized Robot Teams" got accepted at CoRL 2019!
  • Sep 10, 2019: Check our preprint about learning dynamic routing of autonomous cars to decrease traffic congestion on arXiv.
  • Jul 19, 2019: Our paper titled "The Green Choice: Learning and Influencing Human Decisions on Shared Roads" got accepted at CDC 2019!
  • Jul 18, 2019: Our papers titled "Active Learning of Reward Dynamics from Hierarchical Queries", and "Robots that Take Advantage of Human Trust" got accepted at IROS 2019!
  • Jul 10, 2019: Erdem will be giving an oral presentation at ACC 2019 on "Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models"!
  • Jun 25, 2019: Stanford News compiled a story about our work on "Learning Reward Functions by Integrating Human Demonstrations and Preferences". Check it out here!
  • Jun 25, 2019: We posted our new blogpost on "Influencing Leading and Following in Human-Robot Teams".
  • Jun 24, 2019: We posted our new blogpost on "Learning Reward Functions by Integrating Human Demonstrations and Preferences".
  • Jun 19, 2019: Check our preprint about batch-mode active learning on arXiv.
  • Jun 7, 2019: Check Dorsa"s talk on "Influencing Interactive Mixed-Autonomy Systems" at Learning for Dynamics and Control (L4DC) on YouTube.
  • Jun 7, 2019: Dorsa will be giving a talk at the ICML Workshop on AI for Autonomous Driving on June 15.
  • Jun 7, 2019: Tianhe will be presenting a poster on "Unsupervised Visuomotor Control through Distributional Planning Networks" at ICML Workshop on Self-Supervised Learning and at ICML Workshop on Imitation, Intent, and Interaction (I3).
  • Jun 7, 2019: Minae will be giving a talk on "Continual Adaptation for Efficient Machine Communication" at ICML Workshop on Adaptive & Multitask Learning: Algorithms & Systems on June 15.
  • May 31, 2019: Minae and Mengxi won the Qualcomm Innovation Fellowship 2019 of North America!
  • May 12, 2019: Check our AAMAS 2019 publication titled "Object Exchangeability in Reinforcement Learning" on arXiv.
  • May 8, 2019: Dorsa will be giving a talk at Learning for Dynamics and Control (L4DC) at MIT.
  • May 8, 2019: Dorsa will be giving a talk at The Simons Symposium on New Directions in Theoretical Machine Learning at Kr√ľn, Germany.
  • Apr 30, 2019: Our papers titled "Unsupervised Visuomotor Control through Distributional Planning Networks", "Learning Reward Functions by Integrating Human Demonstrations and Preferences", and "Influencing Leading and Following in Human-Robot Teams" got accepted at RSS 2019!
  • Apr 8, 2019: Check our CDC 2019 submission about mixed-autonomy traffic on arXiv.
  • Mar 30, 2019: Dorsa will be giving a talk on "Interactive Autonomy" at University of Washington on April 23.
  • Mar 30, 2019: Dorsa will be giving a talk on "Interactive Autonomy" at MIT on April 8.
  • Mar 15, 2019: Dorsa will be giving a talk on "Interactive Autonomy" at Cornell University on March 28.
  • Mar 7, 2019: Dorsa will be giving a talk at the "Augmenting Human Capabilities" session of 2019 Human-Centered Artificial Intelligence (HAI) Symposium! Erdem will have a poster presentation at the same event on "Batch-Active Learning and Its Applications to Human-Robot Interaction"!
  • Mar 6, 2019: Dorsa will be giving a talk on "Interactive Autonomy" at Caltech on March 12.
  • Mar 6, 2019: Dorsa will be giving a talk on "Interactive Autonomy" at Cyber-Physical Systems Seminar at University of Southern California on March 6.
  • Jan 27, 2019: Our paper titled "Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models" got accepted at ACC 2019!
  • Jan 27, 2019: Our papers titled "Deep Local Trajectory Replanning and Control for Robot Navigation", and "Hierarchical Game-Theoretic Planning for Autonomous Vehicles" got accepted at ICRA 2019!
  • Jan 16, 2019: Dorsa will be giving a talk at 3rd Annual TRI Joint University Workshop on "Interaction-Aware Control for Cars that Anticipate and Explain Complex Environments"! Erdem will have a poster presentation at the same event on "Batch-Active Preference-Based Learning of Reward Functions"!
  • Dec 1, 2018: Daniel will be giving an oral presentation at CDC 2018 on "Maximizing Road Capacity Using Cars that Influence People"!
  • Dec 1, 2018: Dorsa will be giving an oral presentation at CPHS 2018 on "Verifying Robustness of Human-Aware Autonomous Cars"!
  • Dec 1, 2018: Daniel will be giving an oral presentation at WAFR 2018 on "Altruistic Autonomy: Beating Congestion on Shared Roads"!
  • Dec 1, 2018: Dorsa will be giving talks at NeurIPS Workshop on Imitation Learning and its Challenges in Robotics on Dec 8th, and at NeurIPS Workshop on Machine Learning for Intelligent Transportation Systems On Dec 7th.
  • Nov 26, 2018: We posted our new blogpost on "Altruistic Autonomy: Beating Congestion on Shared Roads".
  • Oct 24, 2018: Erdem will be giving an oral presentation at CoRL 2018 on "Batch Active Preference-Based Learning of Reward Functions"!
  • Oct 13, 2018: Check our ICRA 2019 submission on arXiv.
  • Oct 10, 2018: Check our CoRL 2018 paper on arXiv.
  • Oct 5, 2018: We posted our new blogpost on "Batch-Active Preference-Based Learning of Reward Functions".
  • Oct 5, 2018: We have built our new website!
  • Sep 5, 2018: Our paper titled "Altruistic Autonomy: Beating Congestion on Shared Roads" got accepted at WAFR 2018!
  • Sep 1, 2018: Our paper titled "Batch Active Preference-Based Learning of Reward Functions" got accepted at CoRL 2018!