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Max Balsells I Pamies

2 accepted papers

2023

Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback

CoRL 2023poster

Ideally, we would place a robot in a real-world environment and leave it there improving on its own by gathering more experience autonomously. However, algorithms for autonomous robotic learning have been challenging to realize in the real world. While this has often been attributed to the challenge…

Cited by 6SourcecodeScholar
2023

Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback

NeurIPS 2023poster

Exploration and reward specification are fundamental and intertwined challenges for reinforcement learning. Solving sequential decision making tasks with a non-trivial element of exploration requires either specifying carefully designed reward functions or relying on indiscriminate, novelty seeking…