23 citations · 51 across the 9 of their papers we have counts for
15 papers
Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge
Takuma Yoneda, Charles Schaff, Takahiro Maeda +1
This report describes our winning submission to the Real Robot Challenge (https://real-robot-challenge.com/). The Real Robot Challenge is a three-phase dexterous manipulation compe…
Pow-Wow: A Dataset and Study on Collaborative Communication in Pommerman
Takuma Yoneda, Matthew R. Walter, Jason Naradowsky
In multi-agent learning, agents must coordinate with each other in order to succeed. For humans, this coordination is typically accomplished through the use of language. In this wo…
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents
Jacopo Tani, Andrea F. Daniele, Gianmarco Bernasconi +10
As robotics matures and increases in complexity, it is more necessary than ever that robot autonomy research be reproducible. Compared to other sciences, there are specific challen…
Concurrent Training Improves the Performance of Behavioral Cloning from Observation
Zachary W. Robertson, Matthew R. Walter
Learning from demonstration is widely used as an efficient way for robots to acquire new skills. However, it typically requires that demonstrations provide full access to the state…
Residual Policy Learning for Shared Autonomy
Charles Schaff, Matthew R. Walter
Shared autonomy provides an effective framework for human-robot collaboration that takes advantage of the complementary strengths of humans and robots to achieve common goals. Many…
Loop Estimator for Discounted Values in Markov Reward Processes
Falcon Z. Dai, Matthew R. Walter
At the working heart of policy iteration algorithms commonly used and studied in the discounted setting of reinforcement learning, the policy evaluation step estimates the value of…