DI-engine VS endless-memory-gym

What are some alternatives?

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

quantum-arch-search - Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)

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).

episodic-transformer-memory-ppo - Clean baseline implementation of PPO using an episodic TransformerXL memory

tianshou - An elegant PyTorch deep reinforcement learning library.

ConvLSTM-PyTorch - ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

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