Computational framework for reinforcement learning in traffic control
- reinforcement-learning
- traffic-control
- benchmark
- autonomous
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Computational framework for reinforcement learning in traffic control
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
A simple and highly efficient RTS-game-inspired environment for reinforcement learning
The official code of Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence
Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0