JAX-CORL

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

离线强化学习算法的统一实现

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