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High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Home Page: http://docs.cleanrl.dev
License: Other
Shell 2.48%
Python 95.72%
HCL 1.57%
Dockerfile 0.23%
cleanrl's Introduction
- ๐ Hi, Iโm @johan-kallstrom
- ๐ Iโm interested in reinforcement learning in multi-agent systems.
- ๐ฑ Iโm currently focused on multi-objective reinforcement learning in systems where human and synthetic agents must collaborate to solve tasks.
cleanrl's People