Deep Learning Agents Trained For Avoidance Behave Like Hawks And Doves

14 March 2025

Papers citing "Deep Learning Agents Trained For Avoidance Behave Like Hawks And Doves"

9 / 9 papers shown

Title
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion Nico Bohlinger Grzegorz Czechmanowski Maciej Krupka Piotr Kicki Krzysztof Walas Jan Peters Davide Tateo 88 21 0 10 Sep 2024
A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment Lei Yuan Ziqian Zhang Lihe Li Cong Guan Yang Yu LRM 34 36 0 02 Dec 2023
Breaking the Deadly Triad with a Target Network Shangtong Zhang Hengshuai Yao Shimon Whiteson AAML 52 45 0 21 Jan 2021
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Arrasy Rahman Stefano V. Albrecht 72 190 0 11 Jun 2019
Curriculum Adversarial Training Qi-Zhi Cai Min Du Chang-rui Liu Basel Alomair AAML 78 163 0 13 May 2018
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai ... D. Kumaran T. Graepel Timothy Lillicrap Karen Simonyan Demis Hassabis 143 1,775 0 05 Dec 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 95 859 0 08 Mar 2017
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 220 3,789 0 18 Nov 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 127 12,231 0 19 Dec 2013