
pytorch-DRL
by ChenglongChen (personal account)
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent. (description from the project’s GitHub page)
Repository facts
- Stars
- 618
- Forks
- 109
- Open issues and pull requests
- 6
- Primary language
- Python
- License
- MIT License (MIT)
- Owner
- ChenglongChen · Personal account
- Created
- Oct 26, 2017
- Last push
- Nov 11, 2017
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 8,017: cpnota/autonomous-learning-library
A PyTorch library for building deep reinforcement learning agents.
659 starsPythonMITLast push Mar 17, 2024
Rank 2,021: ikostrikov/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 a…
3,907 starsPythonMITLast push May 29, 2022
Rank 772: vwxyzjn/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
10,572 starsPythonOther licenseLast push Apr 20, 2026
Rank 731: thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
11,033 starsPythonMITLast push Apr 3, 2026
Rank 7,560: fangvv/UAV-DDPG
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
724 starsPythonNo license file detectedLast push Oct 8, 2026
Rank 2,427: seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
3,239 starsPythonMITLast push Apr 22, 2023