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🤖  AI Algorithms

| | | | | :-: | :-: | :-- | | 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 |

🛠️  Tools

| | | | | :-: | :-: | :-- | | granular | | Fast format and loader for datasets | | portal | | Fast and reliable distributed systems in Python | | elements | | Building blocks for productive research | | ninjax | | General Modules for JAX | | flexbuild | | Simple Python build backend for large codebases | | handout* | | Turn Python scripts into handouts with Markdown and figures |

📈  Benchmarks

| | | | | :-: | :-: | :-- | | crafter | | Benchmarking the Spectrum of Agent Capabilities | | diamond_env | | Standardized Minecraft Diamond task for reinforcement learning |

 * Archived