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- Nature http://www.nature.com 135 comments
- Artificial general intelligence - Wikipedia https://en.wikipedia.org/wiki/Artificial_general_intelligence#Possible_explanations_for_the_slow_progress_of_AI_research 41 comments
- Evolution strategies as a scalable alternative to reinforcement learning https://blog.openai.com/evolution-strategies/ 36 comments
- Artificial neural network - Wikipedia https://en.wikipedia.org/wiki/artificial_neural_network 27 comments
- Gaussian process - Wikipedia https://en.wikipedia.org/wiki/Gaussian_process#Usual_covariance_functions 19 comments
- Deep Reinforcement Learning: Pong from Pixels https://karpathy.github.io/2016/05/31/rl/ 16 comments
- [1509.02971] Continuous control with deep reinforcement learning https://arxiv.org/abs/1509.02971 15 comments
- Minimax - Wikipedia https://en.wikipedia.org/wiki/Minimax 12 comments
- Monte Carlo tree search - Wikipedia https://en.wikipedia.org/wiki/Monte_Carlo_tree_search 12 comments
- https://arxiv.org/abs/1602.01783 7 comments
- [1611.05397] Reinforcement Learning with Unsupervised Auxiliary Tasks https://arxiv.org/abs/1611.05397 6 comments
- Bellman equation - Wikipedia https://en.wikipedia.org/wiki/Bellman_equation 6 comments
- OpenAI Baselines: ACKTR & A2C https://blog.openai.com/baselines-acktr-a2c/ 6 comments
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- Artificial intelligence - Wikipedia https://en.wikipedia.org/wiki/Artificial_intelligence 5 comments
- Long short-term memory - Wikipedia https://en.wikipedia.org/wiki/Long_short-term_memory 4 comments
- https://www.deeprlbootcamp.berkeley.edu/ 3 comments
- [1707.06203] Imagination-Augmented Agents for Deep Reinforcement Learning https://arxiv.org/abs/1707.06203 3 comments
- Andrej Karpathy (@karpathy) / Twitter https://twitter.com/karpathy 2 comments
- [1612.08810] The Predictron: End-To-End Learning and Planning https://arxiv.org/abs/1612.08810 0 comments
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