most citedMeasuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark

7 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 7 cited

Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark

Sharada Mohanty, Jyotish Poonganam, Adrien Gaidon +20

The NeurIPS 2020 Procgen Competition was designed as a centralized benchmark with clearly defined tasks for measuring Sample Efficiency and Generalization in Reinforcement Learning…

cs.LG2019

Multi-Preference Actor Critic

Ishan Durugkar, Matthew Hausknecht, Adith Swaminathan +1

Policy gradient algorithms typically combine discounted future rewards with an estimated value function, to compute the direction and magnitude of parameter updates. However, for m…