Minari VS DI-engine

What are some alternatives?

d3rlpy - An offline deep reinforcement learning library

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

exorl - ExORL: Exploratory Data for Offline Reinforcement Learning

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).

gymprecice - A framework to design and develop reinforcement learning environments for single- and multi-physics active flow control.

tianshou - An elegant PyTorch deep reinforcement learning library.

PettingZoo - An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

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

MO-Gymnasium - Multi-objective Gymnasium environments for reinforcement learning

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.