IRL VS DI-engine

Compare IRL vs DI-engine and see what are their differences.

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IRL DI-engine
1 3
1 2,553
- 5.7%
0.0 8.7
almost 3 years ago 9 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.

IRL

Posts with mentions or reviews of IRL. We have used some of these posts to build our list of alternatives and similar projects.

DI-engine

Posts with mentions or reviews of DI-engine. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-15.

What are some alternatives?

When comparing IRL and DI-engine you can also consider the following projects:

rlalgorithms-tf2 - Packaged deep reinforcement learning algorithms in tensorflow 2.x

stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

imitation - Clean PyTorch implementations of imitation and reward learning algorithms

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).

DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

tianshou - An elegant PyTorch deep reinforcement learning library.

seed_rl - SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

on-policy - This is the official implementation of Multi-Agent PPO (MAPPO).

myosuite - MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.

godot_rl_agents - An Open Source package that allows video game creators, AI researchers and hobbyists the opportunity to learn complex behaviors for their Non Player Characters or agents

brain-agent - Brain Agent for Large-Scale and Multi-Task Agent Learning