- Upgrade a PC for reinforcement learning https://github.com/medipixel/rl_algorithms 5 comments reinforcementlearning
Linking pages
Linked pages
- [1511.05952] Prioritized Experience Replay https://arxiv.org/abs/1511.05952 19 comments
- [1509.02971] Continuous control with deep reinforcement learning https://arxiv.org/abs/1509.02971 15 comments
- The MIT License | Open Source Initiative https://opensource.org/licenses/MIT 15 comments
- [1707.01495] Hindsight Experience Replay https://arxiv.org/abs/1707.01495 11 comments
- https://arxiv.org/pdf/1707.06887.pdf 10 comments
- https://arxiv.org/pdf/1509.06461.pdf 10 comments
- GitHub - psf/black: The uncompromising Python code formatter https://github.com/psf/black 8 comments
- [1512.03385] Deep Residual Learning for Image Recognition http://arxiv.org/abs/1512.03385 6 comments
- https://arxiv.org/pdf/1812.05905.pdf 4 comments
- Weights & Biases – Developer tools for ML https://wandb.com 4 comments
- Recurrent Experience Replay in Distributed Reinforcement Learning | OpenReview https://openreview.net/forum?id=r1lyTjAqYX 4 comments
- [1801.01290] Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor https://arxiv.org/abs/1801.01290 4 comments
- [1806.06923] Implicit Quantile Networks for Distributional Reinforcement Learning https://arxiv.org/abs/1806.06923 4 comments
- Anaconda | Anaconda Distribution https://www.anaconda.com/distribution/ 4 comments
- https://arxiv.org/pdf/1611.01224.pdf 3 comments
- https://arxiv.org/abs/1707.06347 3 comments
- [1704.03732] Deep Q-learning from Demonstrations https://arxiv.org/abs/1704.03732 3 comments
- [1706.10295] Noisy Networks for Exploration https://arxiv.org/abs/1706.10295 0 comments
- [1710.02298] Rainbow: Combining Improvements in Deep Reinforcement Learning https://arxiv.org/abs/1710.02298 0 comments
- Emoji Key ✨ (and Contribution Types) · All Contributors https://allcontributors.org/docs/en/emoji-key 0 comments
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