Helen-Cheung / RL-SekiroLinks
D3QN 强化学习打只狼
☆29Updated 3 years ago
Alternatives and similar repositories for RL-Sekiro
Users that are interested in RL-Sekiro are comparing it to the libraries listed below
Sorting:
- 基于gym的pytorch深度强化学习(DRL)(PPO,PPG,DQN,SAC,DDPG,TD3等算法)☆126Updated last month
- DQN_play_sekiro☆538Updated last year
- 强化学习玩超级马里奥☆77Updated 3 years ago
- Solve BipedalWalkerHardcore-v2 with TD3☆91Updated 2 years ago
- Using deep reinforcement learning to play Snake game(贪吃蛇).☆81Updated 4 years ago
- Reinforcement learning☆34Updated 2 weeks ago
- A Collection of Multi-Agent Reinforcement Learning (MARL) Resources☆249Updated 2 years ago
- ☆97Updated 2 years ago
- Honor of Kings AI Open Environment of Tencent☆768Updated last year
- 动手学强化学习代码☆60Updated last year
- Multiagent Reinforcement Learning Research Project☆216Updated 2 months ago
- Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch☆305Updated 5 years ago
- basic algorithms of reinforcement learning☆213Updated 2 years ago
- ☆426Updated 3 months ago
- notes☆30Updated 3 years ago
- 强化学习算法库,包含了目前主流的强化学习算法(Value based and Policy based)的代码,代码都经过调试并可以运行☆96Updated last year
- ☆66Updated last year
- kinds of reinforcement learning model by Pytorch☆342Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆28Updated last year
- 多智能体强化学习(MARL)算法复现,包括QMIX,VDN,QTRAN、MAVEN等等☆206Updated 3 years ago
- 多智能体学习库☆20Updated 3 years ago
- TD3 in Pytorch☆35Updated 3 years ago
- Lightweight version of MAPPO to help you quickly migrate to your local environment.☆725Updated 6 months ago
- An environment based on JSBSIM aimed at one-to-one close air combat.☆400Updated 4 months ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆52Updated 3 years ago
- 多智能体小球强化学习环境☆19Updated 4 years ago
- lecture32_AI挑战星际争霸II(强化学习)☆17Updated 3 years ago
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆32Updated 2 years ago
- ☆536Updated 10 months ago
- XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library☆944Updated last week