soft-actor-critic

Top 10 soft-actor-critic Open-Source Projects

  • softlearning

    Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

  • Project mention: Problem with Truncated Quantile Critics (TQC) and n-step learning algorithm. | /r/reinforcementlearning | 2023-12-09

    # see https://github.com/rail-berkeley/softlearning/issues/60

  • 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.

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  • autonomous-learning-library

    A PyTorch library for building deep reinforcement learning agents.

  • Deep-Reinforcement-Learning-Algorithms

    32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

  • jaxrl

    JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

  • Project mention: JAX in Reinforcement Learning | /r/reinforcementlearning | 2023-06-20

    Have you looked at this repo or this repo ?

  • tmrl

    Reinforcement Learning for real-time applications - host of the TrackMania Roborace League

  • Project mention: Problem with Truncated Quantile Critics (TQC) and n-step learning algorithm. | /r/reinforcementlearning | 2023-12-09

    Hi all! I'm implementing a TQC with n-step learning in Trackmania (I forked original repo from here: https://github.com/trackmania-rl/tmrl, my modified version here: https://github.com/Pheoxis/AITrackmania/tree/main). It compiles, but I am pretty sure that I implemented n-step learning incorrectly, but as a beginner I don't know what I did wrong. Here's my code before implementing n-step algorithm: https://github.com/Pheoxis/AITrackmania/blob/main/tmrl/custom/custom_algorithms.py. If anyone checked what I did wrong, I would be very grateful. I will also attach some plots from my last training and outputs from printed lines (print.txt), maybe it will help :) If you need any additional information feel free to ask.

  • learning-to-drive-in-5-minutes

    Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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  • Meta-SAC

    Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

  • soft-actor-critic

    Re-implementation of Soft-Actor-Critic (SAC) in TensorFlow 2.0

  • senza

    Experiments with drone control and reinforcement learning.

  • Project mention: 2D Drone RL | /r/reinforcementlearning | 2023-07-24
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

soft-actor-critic related posts

Index

What are some of the best open-source soft-actor-critic projects? This list will help you:

Project Stars
1 softlearning 1,166
2 Popular-RL-Algorithms 997
3 autonomous-learning-library 639
4 Deep-Reinforcement-Learning-Algorithms 580
5 jaxrl 576
6 tmrl 431
7 learning-to-drive-in-5-minutes 277
8 Meta-SAC 28
9 soft-actor-critic 1
10 senza 1

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