Advice on doing RL for Settlers of Catan?

This page summarizes the projects mentioned and recommended in the original post on /r/reinforcementlearning

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
  • tensorforce

    Tensorforce: a TensorFlow library for applied reinforcement learning

  • The most promising approach has been using the TensorForce framework (https://github.com/tensorforce/tensorforce) with a custom environment that represents a simpler game (1v1 against a bot that chooses actions randomly, no trading between players, and fixing discarding to be done automatically and at random).

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts

  • Beginner attempting to implement Noisy DQN

    3 projects | /r/reinforcementlearning | 15 Jan 2021
  • The Power of Reinforcement Learning: look how this DeepRL Sektor model found a smart, super-cool exploit for Ultimate Mortal Kombat 3 in the video of a submission on DIAMBRA competition platform!

    1 project | /r/reinforcementlearning | 9 Dec 2023
  • How do I change the maximum number of steps for training

    1 project | /r/MLAgents | 7 Dec 2023
  • [P] Introducing PPO and Rainbow DQN to our super fast evolutionary HPO reinforcement learning framework

    1 project | /r/MachineLearning | 15 Oct 2023
  • Introducing PPO and Rainbow DQN to our super fast evolutionary HPO reinforcement learning framework

    1 project | /r/reinforcementlearning | 15 Oct 2023