pytorch-a2c-ppo-acktr-gail
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)
dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo. (by google-deepmind)
| pytorch-a2c-ppo-acktr-gail | dm_control | |
|---|---|---|
| 3 | 7 | |
| 3,423 | 3,549 | |
| - | 1.6% | |
| 0.0 | 7.5 | |
| almost 2 years ago | 2 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pytorch-a2c-ppo-acktr-gail
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.
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How does advantage estimation is done when episodes are of variable length in PPO?
As an example look at "compute_returns" function here (and pay attention to how self.masks is used): https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail/blob/master/a2c_ppo_acktr/storage.py
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How to pretrain a model on expert data?
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.
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Trying to Train PPO Agent for Pendulum-v0 from Pixel Inputs
For the PPO, I used this repo, which includes most tricks including GAE, normalized rewards, etc. I have verified this repo works for the traditional Pendulum-v0 task and Atari games (Pong and Breakout).
dm_control
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.
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Shimmy 1.0: Gymnasium & PettingZoo bindings for popular external RL environments
This includes single-agent Gymnasium wrappers for DM Control, DM Lab, Behavior Suite, Arcade Learning Environment, OpenAI Gym V21 & V26. Multi-agent PettingZoo wrappers support DM Control Soccer, OpenSpiel and Melting Pot. For more information, read the release notes here:
Have you ever wanted to use dm-control with stable-baselines3? Within Reinforcement learning (RL), a number of APIs are used to implement environments, with limited ability to convert between them. This makes training agents across different APIs highly difficult, and has resulted in a fractured ecosystem.
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Installing & Using MuJoCo 2.1.5 with OpenAi Gym
Deepmind Control Suite is a good alternative to Open AI Gym for continuous control tasks. It contains many of the environments present in Gym and also a few extra ones. Deepmind Control Suite also uses Mujoco. I found the installation to be straightforward. Check out https://github.com/deepmind/dm_control
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Is there a way to get PPO controlled agents to move a little more gracefully?
Do you know if this is implemented in code anywhere? I've been digging around in DeepMind's dm_control for the past few hours and I haven't found it. I'm not sure what I'm looking for either.
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[D] MuJoCo vs PyBullet? (esp. for custom environment)
If you're interested in using Mujoco, I'd suggest checking out the dm_control package for Python bindings rather than interfacing with C++ directly. I think one downside to Mujoco currently is that you cannot dynamically add objects, and the entire simulation is initialized and loaded according to the MJCF / XML file.
- How to use MuJoCo from Python3
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Any beginner resources for RL in Robotics?
DeepMind's dm control: https://github.com/deepmind/dm_control
What are some alternatives?
When comparing pytorch-a2c-ppo-acktr-gail and dm_control you can also consider the following projects:
soft-actor-critic - Implementation of the Soft Actor Critic algorithm using Pytorch.
gym - A toolkit for developing and comparing reinforcement learning algorithms.
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
baselines - OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
tensorforce - Tensorforce: a TensorFlow library for applied reinforcement learning
IsaacGymEnvs - Isaac Gym Reinforcement Learning Environments
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.
PCGrad - Code for "Gradient Surgery for Multi-Task Learning"
Robotics Library (RL) - The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control.
DI-engine - OpenDILab Decision AI Engine
acme - A library of reinforcement learning components and agents
pytorch-a2c-ppo-acktr-gail vs soft-actor-critic
dm_control vs gym
pytorch-a2c-ppo-acktr-gail vs Super-mario-bros-PPO-pytorch
dm_control vs baselines
pytorch-a2c-ppo-acktr-gail vs tensorforce
dm_control vs IsaacGymEnvs
pytorch-a2c-ppo-acktr-gail vs TensorFlow2.0-for-Deep-Reinforcement-Learning
dm_control vs mujoco-py
pytorch-a2c-ppo-acktr-gail vs PCGrad
dm_control vs Robotics Library (RL)
pytorch-a2c-ppo-acktr-gail vs DI-engine
dm_control vs acme