Title
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 100 53 0 25 Aug 2019
Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective Tom Everitt Marcus Hutter Ramana Kumar Victoria Krakovna 118 97 0 13 Aug 2019
Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following David Gaddy Dan Klein 78 11 0 23 Jul 2019
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning Kelsey R. Allen Kevin A. Smith J. Tenenbaum LRM 121 119 0 22 Jul 2019
A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning Nicholas C. Landolfi G. Thomas Tengyu Ma OffRL 64 19 0 11 Jul 2019
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning Wenling Shang Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 92 18 0 01 Jul 2019
Modern Deep Reinforcement Learning Algorithms Sergey Ivanov A. Dýakonov OffRL 61 39 0 24 Jun 2019
Exploring Model-based Planning with Policy Networks Tingwu Wang Jimmy Ba 125 150 0 20 Jun 2019
Unsupervised Learning of Object Keypoints for Perception and Control Tejas D. Kulkarni Ankush Gupta Catalin Ionescu Sebastian Borgeaud Malcolm Reynolds Andrew Zisserman Volodymyr Mnih SSL OCL 85 197 0 19 Jun 2019
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 129 965 0 19 Jun 2019
When to use parametric models in reinforcement learning? H. V. Hasselt Matteo Hessel John Aslanides 95 196 0 12 Jun 2019
Fast Task Inference with Variational Intrinsic Successor Features Steven Hansen Will Dabney André Barreto T. Wiele David Warde-Farley Volodymyr Mnih BDL 103 152 0 12 Jun 2019
DeepMDP: Learning Continuous Latent Space Models for Representation Learning Carles Gelada Saurabh Kumar Jacob Buckman Ofir Nachum Marc G. Bellemare BDL 118 290 0 06 Jun 2019
Scaling Autoregressive Video Models Dirk Weissenborn Oscar Täckström Jakob Uszkoreit DiffM VGen 127 204 0 06 Jun 2019
The Principle of Unchanged Optimality in Reinforcement Learning Generalization A. Irpan Xingyou Song OffRL 66 7 0 02 Jun 2019
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning Caleb Chuck Supawit Chockchowwat S. Niekum 67 14 0 27 May 2019
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction Hongyao Tang Jianye Hao Guangyong Chen Pengfei Chen Zhaopeng Meng Yaodong Yang Li Wang 35 2 0 27 May 2019
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration Nicholas Watters Loic Matthey Matko Bosnjak Christopher P. Burgess Alexander Lerchner OffRL 127 118 0 22 May 2019
Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning Kacper Kielak GAN 23 0 0 30 Apr 2019
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks K. Ellefsen J. Tørresen 63 1 0 04 Apr 2019
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks Dongqi Han Kenji Doya Jun Tani AI4CE 126 20 0 29 Jan 2019