Go vs Nethack
Lukas and Tim discuss the contrasting complexities of the games Go and Nethack, highlighting how the simplicity of Go's rules allows for effective planning in reinforcement learning, while Nethack's stochastic and partially observable dynamics present unique challenges for AI algorithms.In this clip
From this podcast
Gradient Dissent - A Machine Learning Podcast
Tim & Heinrich — Democraticizing Reinforcement Learning Research
Related Questions