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coursera_capstone

cs285-homework

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

d2ope

d3rlpy

An offline deep reinforcement learning library

deep-reinforcement-learning-cs285-pytorch

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

deep-reinforcement-learning-cs285-tensorflow

Solutions of the assignments of Deep Reinforcement Learning (CS285) course presented by the UC Berkeley

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

mediationrl

Implementation of "A Reinforcement Learning Framework for Dynamic Mediation Analysis" (ICML 2023) in Python.

mtss

Implementation of "Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework" (2023 AISTATS) in Python

mtts

Implementation of "Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models” (NeurIPS 2021) in Python

test_all_contributor