Multi-agent reinforcement learning for character control

[1]  J. Hodgins,et al.  Control strategies for physically simulated characters performing two-player competitive sports , 2021, ACM Transactions on Graphics.

[2]  Yuval Tassa,et al.  From Motor Control to Team Play in Simulated Humanoid Football , 2021, Sci. Robotics.

[3]  S. Levine,et al.  AMP , 2021, ACM Trans. Graph..

[4]  Petros Faloutsos,et al.  Deep Integration of Physical Humanoid Control and Crowd Navigation , 2020, MIG.

[5]  Jia Pan,et al.  Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios , 2020, Int. J. Robotics Res..

[6]  Victor Talpaert,et al.  Deep Reinforcement Learning for Autonomous Driving: A Survey , 2020, IEEE Transactions on Intelligent Transportation Systems.

[7]  Wojciech M. Czarnecki,et al.  Grandmaster level in StarCraft II using multi-agent reinforcement learning , 2019, Nature.

[8]  Igor Mordatch,et al.  Emergent Tool Use From Multi-Agent Autocurricula , 2019, ICLR.

[9]  Guy Lever,et al.  Emergent Coordination Through Competition , 2019, ICLR.

[10]  Demis Hassabis,et al.  A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play , 2018, Science.

[11]  Jitendra Malik,et al.  SFV , 2018, ACM Trans. Graph..

[12]  Trevor Darrell,et al.  Modular Architecture for StarCraft II with Deep Reinforcement Learning , 2018, AIIDE.

[13]  Bo Li,et al.  TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game , 2018, ArXiv.

[14]  Nirajan Shiwakoti,et al.  Examining effect of architectural adjustment on pedestrian crowd flow at bottleneck , 2018, Physica A: Statistical Mechanics and its Applications.

[15]  Gerhard Neumann,et al.  Deep Reinforcement Learning for Swarm Systems , 2018, J. Mach. Learn. Res..

[16]  Sergey Levine,et al.  DeepMimic , 2018, ACM Trans. Graph..

[17]  Shimon Whiteson,et al.  QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning , 2018, ICML.

[18]  Jakub W. Pachocki,et al.  Emergent Complexity via Multi-Agent Competition , 2017, ICLR.

[19]  Alec Radford,et al.  Proximal Policy Optimization Algorithms , 2017, ArXiv.

[20]  Glen Berseth,et al.  DeepLoco , 2017, ACM Trans. Graph..

[21]  Yuval Tassa,et al.  Emergence of Locomotion Behaviours in Rich Environments , 2017, ArXiv.

[22]  Guy Lever,et al.  Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward , 2018, AAMAS.

[23]  Yi Wu,et al.  Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments , 2017, NIPS.

[24]  Shimon Whiteson,et al.  Counterfactual Multi-Agent Policy Gradients , 2017, AAAI.

[25]  Glen Berseth,et al.  Terrain-adaptive locomotion skills using deep reinforcement learning , 2016, ACM Trans. Graph..

[26]  Alex Graves,et al.  Asynchronous Methods for Deep Reinforcement Learning , 2016, ICML.

[27]  Yuval Tassa,et al.  Continuous control with deep reinforcement learning , 2015, ICLR.

[28]  Glen Berseth,et al.  Dynamic terrain traversal skills using reinforcement learning , 2015, ACM Trans. Graph..

[29]  Jessica K. Hodgins,et al.  Generating and ranking diverse multi-character interactions , 2014, ACM Trans. Graph..

[30]  Alex Graves,et al.  Playing Atari with Deep Reinforcement Learning , 2013, ArXiv.

[31]  Jinxiang Chai,et al.  Motion graphs++ , 2012, ACM Trans. Graph..

[32]  Sergey Levine,et al.  Continuous character control with low-dimensional embeddings , 2012, ACM Trans. Graph..

[33]  Taku Komura,et al.  Simulating Multiple Character Interactions with Collaborative and Adversarial Goals , 2012, IEEE Transactions on Visualization and Computer Graphics.

[34]  Dinesh Manocha,et al.  Reciprocal collision avoidance with acceleration-velocity obstacles , 2011, 2011 IEEE International Conference on Robotics and Automation.

[35]  Zoran Popovic,et al.  Motion fields for interactive character locomotion , 2010, CACM.

[36]  Evan Herbst,et al.  Character animation in two-player adversarial games , 2010, TOGS.

[37]  Jehee Lee,et al.  Synchronized multi-character motion editing , 2009, ACM Trans. Graph..

[38]  Taku Komura,et al.  Interaction patches for multi-character animation , 2008, ACM Trans. Graph..

[39]  Taku Komura,et al.  Simulating interactions of avatars in high dimensional state space , 2008, I3D '08.

[40]  Daniel Thalmann,et al.  Published online in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/cav.147 , 2022 .

[41]  Kagan Tumer,et al.  Optimal Payoff Functions for Members of Collectives , 2001, Adv. Complex Syst..

[42]  Dirk Helbing,et al.  Simulating dynamical features of escape panic , 2000, Nature.

[43]  Andrew W. Moore,et al.  Reinforcement Learning: A Survey , 1996, J. Artif. Intell. Res..

[44]  Peter Dayan,et al.  Q-learning , 1992, Machine Learning.

[45]  Craig W. Reynolds.  Flocks, herds, and schools: a distributed behavioral model , 1987, SIGGRAPH.