TensorFlow Agents: Efficient Batched Reinforcement Learning in
TensorFlow

TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow

8 September 2017

Vincent Vanhoucke

Papers citing "TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow"

10 / 10 papers shown

Title
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 36 5 0 21 Sep 2022
Project proposal: A modular reinforcement learning based automated theorem prover Boris Shminke 23 1 0 06 Sep 2022
Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 27 27 0 27 Jul 2021
Graph Policy Gradients for Large Scale Robot Control Arbaaz Khan Ekaterina V. Tolstaya Alejandro Ribeiro Vijay Kumar 10 93 0 08 Jul 2019
Lyapunov-based Safe Policy Optimization for Continuous Control Yinlam Chow Ofir Nachum Aleksandra Faust Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 33 244 0 28 Jan 2019
Dopamine: A Research Framework for Deep Reinforcement Learning Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare OffRL 25 276 0 14 Dec 2018
RLgraph: Modular Computation Graphs for Deep Reinforcement Learning Michael Schaarschmidt Sven Mika Kai Fricke Eiko Yoneki OffRL 23 5 0 21 Oct 2018
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation Perttu Hämäläinen Amin Babadi Xiaoxiao Ma J. Lehtinen 32 62 0 05 Oct 2018
Vehicle Communication Strategies for Simulated Highway Driving Cinjon Resnick I. Kulikov Kyunghyun Cho Jason Weston 22 7 0 19 Apr 2018
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 143 928 0 07 Jul 2017