dm_control VS pytorch-a2c-ppo-acktr-gail

Compare dm_control vs pytorch-a2c-ppo-acktr-gail and see what are their differences.


Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo. (by google-deepmind)


PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL). (by ikostrikov)
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dm_control pytorch-a2c-ppo-acktr-gail
7 3
3,528 3,423
2.2% -
7.5 0.0
5 days ago almost 2 years ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Posts with mentions or reviews of dm_control. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-25.


Posts with mentions or reviews of pytorch-a2c-ppo-acktr-gail. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-12.
  • How to pretrain a model on expert data?
    2 projects | /r/reinforcementlearning | 12 Sep 2021
    Try using an imitation learning algorithm. Two popular options are MaxEnt IRL and GAIL. This repository has GAIL implementation and this repository has MaxEnt IRL and GAIL implementation. There are other implementations too that you can check out.

What are some alternatives?

When comparing dm_control and pytorch-a2c-ppo-acktr-gail you can also consider the following projects:

gym - A toolkit for developing and comparing reinforcement learning algorithms.

baselines - OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

soft-actor-critic - Implementation of the Soft Actor Critic algorithm using Pytorch.

Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

IsaacGymEnvs - Isaac Gym Reinforcement Learning Environments

tensorforce - Tensorforce: a TensorFlow library for applied reinforcement learning

TensorFlow2.0-for-Deep-Reinforcement-Learning - TensorFlow 2.0 for Deep Reinforcement Learning. :octopus:

mujoco-py - MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

Robotics Library (RL) - The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control.

PCGrad - Code for "Gradient Surgery for Multi-Task Learning"

DI-engine - OpenDILab Decision AI Engine

Reinforcement-Learning - Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning