45 citations · 133 across the 21 of their papers we have counts for
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cs.LG2026
Selecting Decision-Relevant Concepts in Reinforcement Learning
Naveen Raman, Stephanie Milani, Fei Fang
Training interpretable concept-based policies requires practitioners to manually select which human-understandable concepts an agent should reason with when making sequential decis…
cs.LG2026
The PokeAgent Challenge: Competitive and Long-Context Learning at Scale
Seth Karten, Jake Grigsby, Tersoo Upaa +28
We present the PokeAgent Challenge, a large-scale benchmark for decision-making research built on Pokemon's multi-agent battle system and expansive role-playing game (RPG) environm…