Reinforcement Learning

Offline RL

Learning from fixed datasets without environment interaction.

0 datasets0 results

Offline RL is a key task in reinforcement learning. Below you will find the standard benchmarks used to evaluate models, along with current state-of-the-art results.

Benchmarks & SOTA

No datasets indexed for this task yet.

Contribute on GitHub

Related Tasks

Atari Games

Playing Atari video games (Atari 2600 benchmark).

Continuous Control

Control tasks with continuous action spaces (MuJoCo).

Back to Reinforcement Learning

Offline RL Benchmarks - Reinforcement Learning - CodeSOTA | CodeSOTA