215 citations · 374 across the 25 of their papers we have counts for
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cs.LG2021
Model-Advantage and Value-Aware Models for Model-Based Reinforcement Learning: Bridging the Gap in Theory and Practice
Nirbhay Modhe, Harish Kamath, Dhruv Batra +1
This work shows that value-aware model learning, known for its numerous theoretical benefits, is also practically viable for solving challenging continuous control tasks in prevale…
cs.LG2021
Programming Puzzles
Tal Schuster, Ashwin Kalyan, Oleksandr Polozov +1
We introduce a new type of programming challenge called programming puzzles, as an objective and comprehensive evaluation of program synthesis, and release an open-source dataset o…