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Clean single-file implementation of offline RL algorithms in JAX
An elegant PyTorch deep reinforcement learning library.
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
A collection of robotics simulation environments for reinforcement learning
Provides support to increase developer productivity in Java when using Apache Cassandra. Uses familiar Spring concepts such as a template classes for core API usage and lightweight repository style data access.
Categorical Query Language IDE
Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch
Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" (ICLR 2024).
My own curriculum to become full-stack javascript developer
Multi Tier Annotation Search
A minimal Graph database backed by IndexedDB