References - KunjShah01/RL-A2A GitHub Wiki
References
A curated list of foundational resources for reinforcement learning and RL-A2A:
- Sutton, R. S., & Barto, A. G. (2018). Reinforcement Learning: An Introduction.
- Schulman, J., et al. (2017). Proximal Policy Optimization Algorithms (arXiv:1707.06347).
- OpenAI Baselines
- Stable Baselines3
- PyTorch Documentation
- Gymnasium Documentation
For further reading, consult the bibliography in Sutton & Barto and the original papers for each algorithm.