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MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations


Dec 12, 2022
Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran

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Transformers are Adaptable Task Planners


Jul 06, 2022
Vidhi Jain, Yixin Lin, Eric Undersander, Yonatan Bisk, Akshara Rai

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* https://anonymous.4open.science/r/temporal_task_planner-Paper148/ 

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RB2: Robotic Manipulation Benchmarking with a Twist


Mar 15, 2022
Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin Wang, Abitha Thankaraj, Karanbir Chahal, Berk Calli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta

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* accepted at the NeurIPS 2021 Datasets and Benchmarks Track 

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Differentiable and Learnable Robot Models


Feb 22, 2022
Franziska Meier, Austin Wang, Giovanni Sutanto, Yixin Lin, Paarth Shah

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Efficient and Interpretable Robot Manipulation with Graph Neural Networks


Feb 25, 2021
Yixin Lin, Austin S. Wang, Akshara Rai

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Learning State-Dependent Losses for Inverse Dynamics Learning


Mar 12, 2020
Kristen Morse, Neha Das, Yixin Lin, Austin Wang, Akshara Rai, Franziska Meier

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* 9 pages, 8 figures, submitted to IROS 2020, Kristen Morse and Neha Das had equal contribution 

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Encoding Physical Constraints in Differentiable Newton-Euler Algorithm


Feb 19, 2020
Giovanni Sutanto, Austin S. Wang, Yixin Lin, Mustafa Mukadam, Gaurav Sukhatme, Akshara Rai, Franziska Meier

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* 10 pages (i.e. 8 pages of technical content and 2 pages of the Bibliography/References), submitted and currently under review for publication at the 2nd Learning for Dynamics and Control (L4DC) Conference, year 2020 

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Curious iLQR: Resolving Uncertainty in Model-based RL


Apr 15, 2019
Sarah Bechtle, Akshara Rai, Yixin Lin, Ludovic Righetti, Franziska Meier

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