Title
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning Jacky Liang Viktor Makoviychuk Ankur Handa N. Chentanez Miles Macklin Dieter Fox AI4CE 114 183 0 12 Oct 2018
Benchmarking Reinforcement Learning Algorithms on Real-World Robots A. R. Mahmood D. Korenkevych Gautham Vasan W. Ma James Bergstra OffRL 94 159 0 20 Sep 2018
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning P. Nagarajan Garrett A. Warnell Peter Stone 87 51 0 15 Sep 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 96 822 0 07 Sep 2018
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay Sameera Lanka Tianfu Wu 66 30 0 06 Sep 2018
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation Zhiting Hu Haoran Shi Bowen Tan Wentao Wang Zichao Yang ... Zhengzhong Liu Xiaodan Liang Wangrong Zhu Devendra Singh Sachan Eric Xing VLM 147 56 0 04 Sep 2018
Learning Actionable Representations from Visual Observations Debidatta Dwibedi Jonathan Tompson Corey Lynch P. Sermanet SSL 94 80 0 02 Aug 2018
Remember and Forget for Experience Replay G. Novati Petros Koumoutsakos OffRL 108 92 0 16 Jul 2018
Adaptive Path-Integral Autoencoder: Representation Learning and Planning for Dynamical Systems Jung-Su Ha Young-Jin Park Hyeok-Joo Chae Soon-Seo Park Han-Lim Choi BDL 92 27 0 05 Jul 2018
Maximum a Posteriori Policy Optimisation A. Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos N. Heess Martin Riedmiller 90 480 0 14 Jun 2018
Randomized Prior Functions for Deep Reinforcement Learning Ian Osband John Aslanides Albin Cassirer UQCV BDL 97 380 0 08 Jun 2018
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces Motoya Ohnishi M. Yukawa M. Johansson Masashi Sugiyama 57 3 0 08 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 279 603 0 04 Jun 2018
Scalable Coordinated Exploration in Concurrent Reinforcement Learning Maria Dimakopoulou Ian Osband Benjamin Van Roy OffRL 69 25 0 23 May 2018
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots Jie Tan Tingnan Zhang Erwin Coumans Atil Iscen Yunfei Bai Danijar Hafner Steven Bohez Vincent Vanhoucke 117 809 0 27 Apr 2018
Distributed Distributional Deterministic Policy Gradients Gabriel Barth-Maron Matthew W. Hoffman David Budden Will Dabney Dan Horgan TB Dhruva Alistair Muldal N. Heess Timothy Lillicrap OffRL 124 480 0 23 Apr 2018
Terrain RL Simulator Glen Berseth Xue Bin Peng M. van de Panne AI4CE 83 5 0 17 Apr 2018
Distributed Prioritized Experience Replay Dan Horgan John Quan David Budden Gabriel Barth-Maron Matteo Hessel H. V. Hasselt David Silver 167 742 0 02 Mar 2018
Clipped Action Policy Gradient Yasuhiro Fujita S. Maeda OffRL 53 37 0 21 Feb 2018
State Representation Learning for Control: An Overview Timothée Lesort Natalia Díaz Rodríguez Jean-François Goudou David Filliat OffRL 125 321 0 12 Feb 2018
A Deeper Look at Experience Replay Shangtong Zhang R. Sutton OffRL VLM 124 276 0 04 Dec 2017