Polixir

algo-SSL

algorithm and experiment code of self-compacting softmax loss for the novelty-prepared few-shot classification

AutoML

causal-mbrl

Toolkit of Causal Model-based Reinforcement Learning.

d3pe

D3PE (Deep Data-Driven Policy Evaluation) aims to evaluation a large set of candidate policies from a fixed dataset to select best ones.

emei

Emei is a toolkit for developing causal reinforcement learning algorithms.

morec

NeoRL

Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets

OfflineRL

A collection of offline reinforcement learning algorithms.

RLAssistant

RLA is a tool for managing your RL experiments automatically

ZOOpt

A python package of Zeroth-Order Optimization (ZOOpt)

polixir/OfflineRL

A collection of offline reinforcement learning algorithms.

polixir/NeoRL

Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets

polixir/ZOOpt

A python package of Zeroth-Order Optimization (ZOOpt)

polixir/causal-mbrl

Toolkit of Causal Model-based Reinforcement Learning.

polixir/RLAssistant

RLA is a tool for managing your RL experiments automatically

polixir/d3pe

D3PE (Deep Data-Driven Policy Evaluation) aims to evaluation a large set of candidate policies from a fixed dataset to select best ones.

polixir/emei

Emei is a toolkit for developing causal reinforcement learning algorithms.

polixir/algo-SSL

algorithm and experiment code of self-compacting softmax loss for the novelty-prepared few-shot classification

polixir/morec

polixir/AutoML

polixir/abl-sym

ABL-Sym: a Sympy-based ABductive Learning framework for automatically solving math problems

polixir/L2RPN_2021

Open Source (Apache License 2.0)

polixir/NeoRL2

polixir/neorl2_dataset

polixir/revive

polixir/revive_book