- How to fix reinforcement learning https://thegradient.pub/how-to-fix-rl/ 3 comments reinforcementlearning
Linking pages
Linked pages
- https://deepmind.com/blog/alphago-zero-learning-scratch/ 408 comments
- Reinforcement learning’s foundational flaw https://thegradient.pub/why-rl-is-flawed/ 55 comments
- Deep Visual-Semantic Alignments for Generating Image Descriptions http://cs.stanford.edu/people/karpathy/deepimagesent/ 39 comments
- https://deepmind.com/blog/prefrontal-cortex-meta-reinforcement-learning-system/ 29 comments
- Home – Skynet Today https://www.skynettoday.com/ 11 comments
- [1707.01495] Hindsight Experience Replay https://arxiv.org/abs/1707.01495 11 comments
- [1611.02779] RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning https://arxiv.org/abs/1611.02779 9 comments
- [1611.05763] Learning to reinforcement learn https://arxiv.org/abs/1611.05763 9 comments
- AlphaGo https://www.alphagomovie.com 5 comments
- Curiosity-driven Exploration by Self-supervised Prediction https://pathak22.github.io/noreward-rl/ 4 comments
- [1802.01557] One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning https://arxiv.org/abs/1802.01557 3 comments
- [1806.01261] Relational inductive biases, deep learning, and graph networks https://arxiv.org/abs/1806.01261 2 comments
- [1803.10760] Unsupervised Predictive Memory in a Goal-Directed Agent https://arxiv.org/abs/1803.10760 2 comments
- Learning to Learn – The Berkeley Artificial Intelligence Research Blog http://bair.berkeley.edu/blog/2017/07/18/learning-to-learn/ 0 comments
- [1803.03835] Kickstarting Deep Reinforcement Learning https://arxiv.org/abs/1803.03835 0 comments
- [1802.07442] Learning to Play with Intrinsically-Motivated Self-Aware Agents https://arxiv.org/abs/1802.07442 0 comments
- [1803.10122] World Models https://arxiv.org/abs/1803.10122 0 comments
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