Recurrent World Models Facilitate Policy Evolution

4 September 2018

Papers citing "Recurrent World Models Facilitate Policy Evolution"

25 / 325 papers shown

Title
Improved memory in recurrent neural networks with sequential non-normal dynamics A. Orhan Xaq Pitkow 70 14 0 31 May 2019
SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards S. Reddy Anca Dragan Sergey Levine OffRL 69 52 0 27 May 2019
Reinforcement Learning for Robotics and Control with Active Uncertainty Reduction Narendra Patwardhan Zequn Wang 24 1 0 15 May 2019
Deep Neuroevolution of Recurrent and Discrete World Models S. Risi Kenneth O. Stanley OCL 133 53 0 28 Apr 2019
Self Training Autonomous Driving Agent Shashank Kotyan Danilo Vasconcellos Vargas Venkanna Udutalapally 37 4 0 26 Apr 2019
Neural Painters: A learned differentiable constraint for generating brushstroke paintings Reiichiro Nakano GAN 52 63 0 17 Apr 2019
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks K. Ellefsen J. Tørresen 61 1 0 04 Apr 2019
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat DRL 72 66 0 30 Mar 2019
Learning to Paint With Model-based Deep Reinforcement Learning Zhewei Huang Wen Heng Shuchang Zhou GAN 117 156 0 11 Mar 2019
Continual Learning Using World Models for Pseudo-Rehearsal Nicholas A. Ketz Soheil Kolouri Praveen K. Pilly KELM CLL 51 7 0 06 Mar 2019
Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future Nan Rosemary Ke Amanpreet Singh Ahmed Touati Anirudh Goyal Yoshua Bengio Devi Parikh Dhruv Batra 78 48 0 05 Mar 2019
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning Ruo-Ze Liu Haifeng Guo Xiaozhong Ji Yang Yu Zhen-Jia Pang Zitai Xiao Yuzhou Wu Tong Lu OffRL 97 13 0 02 Mar 2019
Model-Based Reinforcement Learning for Atari Lukasz Kaiser Mohammad Babaeizadeh Piotr Milos B. Osinski R. Campbell ... Sergey Levine Afroz Mohiuddin Ryan Sepassi George Tucker Henryk Michalewski OffRL 204 870 0 01 Mar 2019
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat 62 16 0 25 Feb 2019
Engineered Self-Organization for Resilient Robot Self-Assembly with Minimal Surprise Tanja Katharina Kaiser Heiko Hamann 49 9 0 14 Feb 2019
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning Arthur Juliani Ahmed Khalifa Vincent-Pierre Berges Jonathan Harper Ervin Teng Hunter Henry A. Crespi Julian Togelius Danny Lange 78 144 0 04 Feb 2019
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks Dongqi Han Kenji Doya Jun Tani AI4CE 111 20 0 29 Jan 2019
Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems Osbert Bastani 61 4 0 24 Jan 2019
How do Mixture Density RNNs Predict the Future? K. Ellefsen Charles Patrick Martin J. Tørresen 61 13 0 23 Jan 2019
Exploring applications of deep reinforcement learning for real-world autonomous driving systems V. Talpaert Ibrahim Sobh Ravi Kiran Patrick Mannion S. Yogamani Ahmad El-Sallab P. Pérez 70 74 0 06 Jan 2019
Deep Learning for Classical Japanese Literature Tarin Clanuwat Mikel Bober-Irizar A. Kitamoto Alex Lamb Kazuaki Yamamoto David R Ha 113 714 0 03 Dec 2018
Optimizing Agent Behavior over Long Time Scales by Transporting Value Chia-Chun Hung Timothy Lillicrap Josh Abramson Yan Wu M. Berk Mirza Federico Carnevale Arun Ahuja Greg Wayne 113 124 0 15 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 194 144 0 15 Oct 2018
Continual State Representation Learning for Reinforcement Learning using Generative Replay Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat BDL CLL 73 19 0 09 Oct 2018
Deep Learning for Video Game Playing Niels Justesen Philip Bontrager Julian Togelius S. Risi VLM 101 208 0 25 Aug 2017