1 citations · 1 across the 3 of their papers we have counts for
5 papers
An Informational Curse of Horizon in Goal-Conditioned Policy Learning
John L. Zhou, Yuxuan Dong, Jonathan C. Kao
The difficulty of learning goal-reaching policies is often attributed to a "curse of horizon" that manifests as bias accumulation in temporal-difference backups and noisy advantage…
Embodied Neurocomputation: A Framework for Interfacing Biological Neural Cultures with Scaled Task-Driven Validation
Johnson Zhou, Daniel Tanneberg, Forough Habibollahi +12
Biological neural networks (BNNs) have been established as a powerful and adaptive substrate that offer the potential for incredibly energy and data efficient information processin…
LowKeyEMG: Electromyographic typing with a reduced keyset
Johannes Y. Lee, Derek Xiao, Shreyas Kaasyap +6
We introduce LowKeyEMG, a real-time human-computer interface that enables efficient text entry using only 7 gesture classes decoded from surface electromyography (sEMG). Prior work…
Flattening Hierarchies with Policy Bootstrapping
John L. Zhou, Jonathan C. Kao
Offline goal-conditioned reinforcement learning (GCRL) is a promising approach for pretraining generalist policies on large datasets of reward-free trajectories, akin to the self-s…
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
John L. Zhou, Weizhe Hong, Jonathan C. Kao
Cooperation between self-interested individuals is a widespread phenomenon in the natural world, but remains elusive in interactions between artificially intelligent agents. Instea…