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cip

prep

corl_ac

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

cql_ac

PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.

d3rlpy_ac

An offline deep reinforcement learning library

data-driven-conditional-robust-optimization

edac_robust

Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)

end-to-end-cro

end to end conditional robust optimization

offline-rl-minigrid-env

Implementation of Offline Reinforcement Learning in Gym Mini-Grid Environment :key:

offlinerl-kit

An elegant PyTorch offline reinforcement learning library for researchers.

rl-dynamicconvexrisk

Python code to perform risk-sensitive Reinforcement Learning with dynamic convex risk measures