45 citations · 45 across the 3 of their papers we have counts for
4 papers
Augmentations for Robust and Efficient Imitation Learning in Streamed Video Games
Somjit Nath, Abdelhak Lemkhenter, Pallavi Choudhury +4
Imitation learning is an appealing way to scale game-playing agents to complex 3D environments by training policies to map visual observations to actions from human demonstrations.…
The Invisible Hand of Physics: When Video Diffusion Models Know More Than They Show
Parsa Esmati, Somjit Nath, Katja Hofmann +3
Modern video diffusion models generate increasingly realistic and temporally coherent videos, motivating their use as candidate world simulators. Yet it remains unclear whether the…
Automatic Curriculum Learning For Deep RL: A Short Survey
Rémy Portelas, Cédric Colas, Lilian Weng +2
Automatic Curriculum Learning (ACL) has become a cornerstone of recent successes in Deep Reinforcement Learning (DRL).These methods shape the learning trajectories of agents by cha…
The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors
William H. Guss, Cayden Codel, Katja Hofmann +9
Though deep reinforcement learning has led to breakthroughs in many difficult domains, these successes have required an ever-increasing number of samples. As state-of-the-art reinf…