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Add citation info for GEOMANCER after NeurIPS acceptance
PiperOrigin-RevId: 338045024
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committed by
Saran Tunyasuvunakool
parent
245211f318
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b2b1386a4d
@@ -33,7 +33,7 @@ https://deepmind.com/research/publications/
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* [Catch & Carry: Reusable Neural Controllers for Vision-Guided Whole-Body Tasks](catch_carry), SIGGRAPH 2020
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* [MEMO: A Deep Network For Flexible Combination Of Episodic Memories](memo), ICLR 2020
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* [RL Unplugged: Benchmarks for Offline Reinforcement Learning](rl_unplugged)
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* [Disentangling by Subspace Diffusion (GEOMANCER)](geomancer)
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* [Disentangling by Subspace Diffusion (GEOMANCER)](geomancer), NeurIPS 2020
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* [What can I do here? A theory of affordances in reinforcement learning](affordances_theory), ICML 2020
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* [Scaling data-driven robotics with reward sketching and batch reinforcement learning](sketchy), RSS 2020
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* [The Option Keyboard: Combining Skills in Reinforcement Learning](option_keyboard), NeurIPS 2019
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+1
-1
@@ -98,7 +98,7 @@ If you use this code in your work, we ask you to cite this paper:
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title={Disentangling by Subspace Diffusion},
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author={Pfau, David and Higgins, Irina and Botev, Aleksandar and Racani\`ere,
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S{\'e}bastian},
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journal={arXiv preprint arXiv:2006.12982},
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journal={Advances in Neural Information Processing Systems (NeurIPS)},
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year={2020}
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}
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```
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