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1. GapExploration GapExploration Public

   [AISTATS 2022] Gap-Dependent Unsupervised Exploration for Reinforcement Learning

   Python

2. MORL MORL Public

   [NeurIPS 2021] Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning

   Python 2

3. IterAvg IterAvg Public

   [ICML 2020] Obtaining Adjustable Regularization for Free via Iterate Averaging

   Python 3 1

4. MultiNoise MultiNoise Public

   [ICML 2020] On the Noisy Gradient Descent that Generalizes as SGD

   Python 4 2

5. SGDNoise SGDNoise Public

   [ICML 2019] The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects

   Python 13 1

6. TNAR TNAR Public

   [CVPR 2019] Tangent-Normal Adversarial Regularization for Semi-supervised Learning

   Python 7