minimalRL VS Pytorch-PCGrad

What are some alternatives?

ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥

pytorch-grad-norm - Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning adjustable weight coefficients.

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

PPO-PyTorch - Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

rlpyt - Reinforcement Learning in PyTorch

cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

pomdp-baselines - Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022

muzero-general - MuZero

deep-RL-trading - playing idealized trading games with deep 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).

ultimate-volleyball - 3D RL Volleyball environment built on Unity ML-Agents

pytorch-learn-reinforcement-learning - A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.