RSSM
The recurrent state-space model, composed of a recurrent neural network that maintains a deterministic hidden state and stochastic latent variables that capture future uncertainty; it is the core component of the Dreamer series of world models.
Timeline (last 90 days)
A single-step prediction by a diffusion world model requires multiple denoising iterations, so the computational overhead during planning is significantly higher than that of RSSM.
Dreamer V1's world model consists of four parts: the representation model, the transition model, the reward prediction head, and the observation prediction head, all built on RSSM, corresponding respectively to posterior inference, prior prediction, and supervision signal generation.
The recurrent state space model (RSSM) consists of a deterministic recurrent path (GRU) and a stochastic path (latent variables): the deterministic state h_t is updated by the previous moment's h_{t-1} and action a_{t-1} through an RNN, and the stochastic state z_t is sampled from a prior distribution parameterized by h_t; this hybrid design balances long-range memory and multimodal uncertainty expression.
All Facts (3)
A single-step prediction by a diffusion world model requires multiple denoising iterations, so the computational overhead during planning is significantly higher than that of RSSM.
50%UnverifiedDreamer V1's world model consists of four parts: the representation model, the transition model, the reward prediction head, and the observation prediction head, all built on RSSM, corresponding respectively to posterior inference, prior prediction, and supervision signal generation.
50%UnverifiedThe recurrent state space model (RSSM) consists of a deterministic recurrent path (GRU) and a stochastic path (latent variables): the deterministic state h_t is updated by the previous moment's h_{t-1} and action a_{t-1} through an RNN, and the stochastic state z_t is sampled from a prior distribution parameterized by h_t; this hybrid design balances long-range memory and multimodal uncertainty expression.
50%