Procedural Challenges
Lukas and Tim delve into the unique challenges posed by procedurally generated games like Nethack for reinforcement learning agents, highlighting the depth and replayability of such environments. They contrast these challenges with traditional game settings like Atari, emphasizing the need for agents to generalize to novel situations in evolving landscapes.In this clip
From this podcast
Gradient Dissent - A Machine Learning Podcast
Tim & Heinrich — Democraticizing Reinforcement Learning Research
Related Questions