| dreamerv3 |  |
Mastering Diverse Domains through World Models |
| daydreamer* |  |
DayDreamer: World Models for Physical Robot Learning |
| director* |  |
Deep Hierarchical Planning from Pixels |
| dreamerv2* |  |
Mastering Atari with Discrete World Models |
| dreamer* |  |
Dream to Control: Learning Behaviors by Latent Imagination |
| planet* |  |
Learning Latent Dynamics for Planning from Pixels |
| batch-ppo* |  |
Efficient Batched Reinforcement Learning in TensorFlow |
| elements |  |
Building blocks for productive research |
| granular |  |
Fast format and loader for datasets |
| ninjax |  |
General Modules for JAX |
| portal |  |
Fast and reliable distributed systems in Python |
| handout* |  |
Turn Python scripts into handouts with Markdown and figures |
| crafter |  |
Benchmarking the Spectrum of Agent Capabilities |
| diamond_env |  |
Standardized Minecraft Diamond task for reinforcement learning |
* Archived