Title
Causally Aligned Curriculum Learning Mingxuan Li Junzhe Zhang Elias Bareinboim CML 97 4 0 21 Mar 2025
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms Ruizhi Chen Xiaoyu Wu Yansong Pan Kaizhao Yuan Ling Li ... Shaohui Peng Xishan Zhang Zidong Du Qi Guo Yunji Chen OffRL 41 3 0 04 Sep 2021
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment Jiaming Guo Rui Zhang Xishan Zhang Shaohui Peng Qiaomin Yi Zidong Du Xing Hu Qi Guo Yunji Chen 52 7 0 26 Jul 2021
Causal Influence Detection for Improving Efficiency in Reinforcement Learning Maximilian Seitzer Bernhard Schölkopf Georg Martius CML 47 76 0 07 Jun 2021
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning Sumedh Anand Sontakke Arash Mehrjou Laurent Itti Bernhard Schölkopf CML 49 62 0 07 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning Oriol Corcoll Raul Vicente CML 53 9 0 03 Oct 2020
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution Vihang Patil M. Hofmarcher Marius-Constantin Dinu Matthias Dorfer P. Blies Johannes Brandstetter Jose A. Arjona-Medina Sepp Hochreiter 74 43 0 29 Sep 2020
Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis Elliot Creager Animesh Garg BDL OffRL 71 89 0 06 Jul 2020
Learning Neural Causal Models from Unknown Interventions Nan Rosemary Ke O. Bilaniuk Anirudh Goyal Stefan Bauer Hugo Larochelle Bernhard Schölkopf Michael C. Mozer C. Pal Yoshua Bengio CML OOD 94 168 0 02 Oct 2019
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning? Ofir Nachum Haoran Tang Xingyu Lu S. Gu Honglak Lee Sergey Levine 59 102 0 23 Sep 2019
MineRL: A Large-Scale Dataset of Minecraft Demonstrations William H. Guss Brandon Houghton Nicholay Topin Phillip Wang Cayden R. Codel Manuela Veloso Ruslan Salakhutdinov OffRL 55 224 0 29 Jul 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 51 255 0 19 Jun 2019
Gradient-Based Neural DAG Learning Sébastien Lachapelle P. Brouillard T. Deleu Simon Lacoste-Julien BDL CML 50 273 0 05 Jun 2019
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning Caleb Chuck Supawit Chockchowwat S. Niekum 38 14 0 27 May 2019
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms Yoshua Bengio T. Deleu Nasim Rahaman Nan Rosemary Ke Sébastien Lachapelle O. Bilaniuk Anirudh Goyal C. Pal CML OOD 93 334 0 30 Jan 2019
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 57 210 0 02 Oct 2018
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies Sungryull Sohn Junhyuk Oh Honglak Lee 100 65 0 19 Jul 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 94 807 0 21 May 2018
Diversity is All You Need: Learning Skills without a Reward Function Benjamin Eysenbach Abhishek Gupta Julian Ibarz Sergey Levine 89 1,083 0 16 Feb 2018
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning Sébastien Forestier Rémy Portelas Yoan Mollard Pierre-Yves Oudeyer 69 188 0 07 Aug 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 239 2,322 0 05 Jul 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 102 513 0 17 May 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning Carlos Florensa Yan Duan Pieter Abbeel BDL 78 361 0 10 Apr 2017
FeUdal Networks for Hierarchical Reinforcement Learning A. Vezhnevets Simon Osindero Tom Schaul N. Heess Max Jaderberg David Silver Koray Kavukcuoglu FedML 84 904 0 03 Mar 2017
A Deep Hierarchical Approach to Lifelong Learning in Minecraft Chen Tessler Shahar Givony Tom Zahavy D. Mankowitz Shie Mannor CLL 124 380 0 25 Apr 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 300 13,214 0 09 Sep 2015