awesome-decision-transformer VS DI-engine

Compare awesome-decision-transformer vs DI-engine and see what are their differences.

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awesome-decision-transformer DI-engine
1 3
572 2,603
7.0% 7.5%
5.3 8.7
7 days ago 8 days ago
Python
Apache License 2.0 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.

awesome-decision-transformer

Posts with mentions or reviews of awesome-decision-transformer. 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 awesome-decision-transformer and DI-engine you can also consider the following projects:

CS-7641-Machine-Learning-Notes - In this repository, I will publish my notes for GaTech's Machine Learning course CS7641.

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

awesome-ai-in-finance - 🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

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).

awesome-artificial-intelligence-research - A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.

tianshou - An elegant PyTorch deep reinforcement learning library.

awesome-reinforcement-learning-lib - GitHub's code repository is all you need

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

awesome-robotics - A curated list of awesome links and software libraries that are useful for robots.

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.