OpenAI Baselines: ACKTR & A2C

1. 1Implement ACKTR for more sample-efficient reinforcement learning
2. 2Use A2C as a synchronous, deterministic variant of A3C for equal performance
3. 3Compare the performance of ACKTR and A2C with other reinforcement learning algorithms
4. 4Integrate ACKTR and A2C with existing projects for improved results

Machine learning engineers and researchers on a team can benefit from these implementations to improve the efficiency of their reinforcement learning models, and software engineers can utilize these models for various applications

💡 ACKTR is a more sample-efficient reinforcement learning algorithm than TRPO and A2C

🤖 OpenAI releases ACKTR & A2C for reinforcement learning! 🚀