Linking pages
- Our NIPS 2017: Learning to Run approach | by Adam Stelmaszczyk | ML Review https://medium.com/@stelmaszczykadam/our-nips-2017-learning-to-run-approach-b80a295d3bb5 4 comments
- Introduction to Various Reinforcement Learning Algorithms. Part I (Q-Learning, SARSA, DQN, DDPG) | by Kung-Hsiang, Huang (Steeve) | Towards Data Science https://towardsdatascience.com/introduction-to-various-reinforcement-learning-algorithms-i-q-learning-sarsa-dqn-ddpg-72a5e0cb6287 0 comments
- Avoiding Moravec’s Paradox Solves AGI in Five Years | by Carlos E. Perez | Intuition Machine | Medium https://medium.com/intuitionmachine/near-term-agi-should-be-considered-as-a-possibility-9bcf276f9b16 0 comments
Linked pages
- ChatGPT https://chat.openai.com/ 742 comments
- Evolution strategies as a scalable alternative to reinforcement learning https://blog.openai.com/evolution-strategies/ 36 comments
- OpenAI Baselines: DQN https://blog.openai.com/openai-baselines-dqn/ 36 comments
- [1509.02971] Continuous control with deep reinforcement learning https://arxiv.org/abs/1509.02971 15 comments
- Proximal Policy Optimization https://blog.openai.com/openai-baselines-ppo/ 5 comments
- GitHub - openai/baselines: OpenAI Baselines: high-quality implementations of reinforcement learning algorithms https://github.com/openai/baselines 3 comments
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