- Sep 25, 2024: Our paper titled "DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning" got accepted to the 38th Conference on Neural Information Processing Systems (NeurIPS).
- Sep 20, 2024: Our paper titled "Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree" got accepted to the Conference on Empirical Methods in Natural Language Processing (EMNLP).
- Sep 4, 2024: Our 2 papers got accepted to the Conference on Robot Learning (CoRL) 2024:
- Trajectory Improvement and Reward Learning from Comparative Language Feedback
- EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
- Jun 30, 2024: Our paper titled "ViSaRL: Visual Reinforcement Learning Guided by Human Saliency" got accepted to the 2024 International Conference on Intelligent Robots and Systems (IROS).
- May 2, 2024: Our 2 papers got accepted to the 2024 International Conference on Machine Learning (ICML):
- RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
- Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation
- Feb 20, 2024: Our paper titled "Batch Active Learning of Reward Functions from Human Preferences" got accepted to the ACM Transactions on Human-Robot Interaction (THRI).
- Jan 30, 2024: Our paper titled "A Generalized Acquisition Function for Preference-based Reward Learning" got accepted to the 2024 International Conference on Robotics and Automation (ICRA).
- Dec 5, 2023: Our paper titled "Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback" got accepted to the Transactions on Machine Learning Research (TMLR).
- Sep 25, 2023: Our paper titled "Active Preference-Based Gaussian Process Regression for Reward Learning and Optimization" got accepted to the International Journal of Robotics Research (IJRR).
- Sep 21, 2023: Our paper titled "RoboCLIP: One Demonstration is Enough to Learn Robot Policies" got accepted to the 37th Conference on Neural Information Processing Systems (NeurIPS).
- Jan 30, 2023: Our paper titled "Active Reward Learning from Online Preferences" got accepted to the 2023 International Conference on Robotics and Automation (ICRA).
- Sep 15, 2022: Our paper titled "Assistive Teaching of Motor Control Tasks to Humans" got accepted to the 36th Conference on Neural Information Processing Systems (NeurIPS).
- Apr 12, 2022: Our paper titled "How do People Incorporate Advice from Artificial Agents when Making Physical Judgments?" got accepted to the 2022 Cognitive Science Society Conference (CogSci).
- Jan 31, 2022: Our paper titled "Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction" got accepted to the 2022 International Conference on Robotics and Automation (ICRA).
- Jan 6, 2022: Our paper titled "APReL: A Library for Active Preference-based Reward Learning Algorithms" got accepted to the 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
- Dec 16, 2021: Our paper titled "Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams" got accepted to the 36th AAAI Conference on Artificial Intelligence.
- Sep 13, 2021: Our 2 papers got accepted to the 5th Conference on Robot Learning (CoRL):
- Learning Multimodal Rewards from Rankings
- Learning Reward Functions from Scale Feedback
- Sep 9, 2021: Our 2 papers got accepted to the Artificial Intelligence for Human-Robot Interaction (AI-HRI) at AAAI Fall Symposium Series:
- Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams
- APReL: A Library for Active Preference-based Reward Learning Algorithms
- Aug 15, 2021: We have released our Python library APReL, which unifies active preference-based reward learning algorithms.
- Aug 4, 2021: Our paper titled "Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences" got accepted to The International Journal of Robotics Research (IJRR).
- Jul 9, 2021: Our paper titled "Learning How to Dynamically Route Autonomous Vehicles on Shared Roads" got accepted to Transportation Research Part C: Emerging Technologies (TR_C).
- May 18, 2021: Our paper titled "Emergent Prosociality in Multi-Agent Games Through Gifting" got accepted to the 30th International Joint Conference on Artificial Intelligence (IJCAI).
- May 5, 2021: Our paper titled "Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy" got accepted to the IEEE Transactions on Control of Network Systems (TCNS).
- Feb 28, 2020: Our paper titled "ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes" got accepted to the 2021 International Conference on Robotics and Automation (ICRA).
- Dec 23, 2020: Our paper titled "Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic" got accepted to the 12th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS).
- Aug 12, 2020: Our paper titled "Multi-Agent Safe Planning with Gaussian Processes" got accepted to the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
- Jul 13, 2020: The recordings of our RSS 2020 workshop on "Emergent Behaviors in Human-Robot Systems" are available on YouTube.
- Jun 25, 2020: Check our IJRR submission about learning reward functions by optimally combining demonstration and preference data on arXiv.
- Jun 22, 2020: Our talks at RSS 2020 are available on YouTube now:
- Active Preference-Based Gaussian Process Regression for Reward Learning
- Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
- May 6, 2020: Our 2 papers got accepted to the Robotics: Science and Systems (RSS) 2020 conference:
- Active Preference-Based Gaussian Process Regression for Reward Learning
- Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
- Apr 7, 2020: Our paper titled "When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans" got honorable mention award at HRI 2020!
- Mar 28, 2020: Check Minae's talk at HRI 2020 on "When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans" here.
- Mar 6, 2020: We are organizing a workshop on "Emergent Behaviors in Human-Robot Systems" at RSS 2020. Check it out here for more details and the call for contributions.
- Dec 1, 2019: Our paper titled "When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans" got accepted to 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI).
- 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 11, 2019: Our paper titled "Asking Easy Questions: A User-Friendly Approach to Active Reward Learning" got accepted to the Conference on Robot Learning (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 paper titled "Active Learning of Reward Dynamics from Hierarchical Queries" got accepted to 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
- Jun 19, 2019: Check our preprint about batch-mode active learning on arXiv.
- Apr 8, 2019: Check our CDC 2019 submission about mixed-autonomy traffic on arXiv.
- Jan 27, 2019: Our paper titled "Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models" got accepted at American Control Conference 2019.
- Sep 5, 2018: Our paper titled "Altruistic Autonomy: Beating Congestion on Shared Roads" got accepted to the 13th International Workshop on the Algorithmic Foundations of Robotics (WAFR).
- Sep 1, 2018: Our paper titled "Batch Active Preference-Based Learning of Reward Functions" got accepted at Conference on Robot Learning (CoRL) 2018.
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