continuous-control 话题在 GitHub 上没有填写简介，这里按 Star 数汇总最相关的热门仓库。
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).
[NeurIPS 2023焦点] LightZero：一般顺序决策场景中蒙特卡罗树搜索的统一基准（令人敬畏的MCTS）
The Fastest Deep Reinforcement Learning Library
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
PyTorch implementation of Soft Actor-Critic (SAC)
PyTorch C++ Reinforcement Learning
PyTorch implementation of Trust Region Policy Optimization
PyTorch Implementation of REINFORCE for both discrete & continuous control
Code for the paper "Evolved Policy Gradients"
End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo
Tensorflow implementation of generative adversarial imitation learning
Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
Implement A3C for Mujoco gym envs
PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)
Catalyst.RL: A Distributed Framework for Reproducible RL Research
A workbench for online model-free Reinforcement Learning on continuous control problems
Benchmark data (i.e., DeepMind Control Suite and MuJoCo) for RL.
Official PyTorch implementation of "DC-MPC: Discrete Codebook Model Predictive Control"
PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method
Proximal Policy Optimization (Continuous Version) in PyTorch.