pip install trfl==1.2.0

trfl is a library of building blocks for reinforcement learning algorithms.

Source
Among top 10% packages on PyPI.
Over 9.2K downloads in the last 90 days.

Commonly used with trfl

Based on how often these packages appear together in public requirements.txt files on GitHub.

dm-acme

A Python library for Reinforcement Learning.

dm-reverb-nightly

Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research.

dm-env

A Python interface for Reinforcement Learning environments.

tf-agents-nightly

TF-Agents: A Reinforcement Learning Library for TensorFlow

tf-estimator-nightly

TensorFlow Estimator.

tensorflow-estimator-2.0-preview

TensorFlow Estimator.

tfp-nightly

Probabilistic modeling and statistical inference in TensorFlow

glfw

A ctypes-based wrapper for GLFW3.

tensorflow-ranking

Pip package setup file for TensorFlow Ranking.

dm-tree

Tree is a library for working with nested data structures.

gin-config

Gin-Config: A lightweight configuration library for Python

dm-control

Continuous control environments and MuJoCo Python bindings.

flax

Flax: A neural network library for JAX designed for flexibility

tensorflow-datasets

tensorflow/datasets is a library of datasets ready to use with TensorFlow.

tb-nightly

TensorBoard lets you watch Tensors Flow

tensorflow-probability

Probabilistic modeling and statistical inference in TensorFlow

absl-py

Abseil Python Common Libraries, see https://github.com/abseil/abseil-py.

mbed-cli

Command line tool for interacting with Mbed OS projects

dopamine-rl

Dopamine: A framework for flexible Reinforcement Learning research

Version usage of trfl

Proportion of downloaded versions in the last 3 months (only versions over 1%).

1.2.0

71.83%

1.1.0

14.72%

1.0.2

5.36%

1.0

4.54%

1.0.1

3.55%