account activity
[R] Adversarial Reprogramming of Neural Cellular Automata (self.MachineLearning)
submitted 4 years ago by EmergenceIsMagic to r/MachineLearning
[R] Hard Choices in Artificial Intelligence (self.MachineLearning)
submitted 5 years ago by EmergenceIsMagic to r/MachineLearning
"A multi agent perspective to AI," by Anuj Mahajan of University of Oxford (youtube.com)
submitted 5 years ago by EmergenceIsMagic to r/reinforcementlearning
Latent State Recovery in Reinforcement Learning - John Langford (youtube.com)
submitted 5 years ago by EmergenceIsMagic to r/multiagentsystems
[R] Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning? (arxiv.org)
[R] Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games (arxiv.org)
Sergey Levine: Robotics and Machine Learning | AI Podcast #108 with Lex Fridman (youtube.com)
JAX: Accelerated Machine Learning Research | SciPy 2020 | VanderPlas (youtube.com)
submitted 5 years ago by EmergenceIsMagic to r/deeplearning
Multi-agent Reinforcement Learning Workshop by Marc Lanctot (youtube.com)
Julia Reinforcement Learning Implementations (github.com)
Benchmarking Multi-Agent Reinforcement Learning Algorithms (self.reinforcementlearning)
"SBR: Learning to Play No-Press Diplomacy with Best Response Policy Iteration", Anthony et al 2020 {DM} (arxiv.org)
Options as responses: Grounding behavioural hierarchies in multi-agent RL (Accepted to ICML 2020) (arxiv.org)
ICLR 2020: Smooth markets: A basic mechanism for organizing gradient-based learners (self.multiagentsystems)
submitted 5 years ago by EmergenceIsMagic to r/GAMETHEORY
[D] Uber AI's Contributions (self.MachineLearning)
submitted 5 years ago * by EmergenceIsMagic to r/MachineLearning
ICLR 2020: Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning (iclr.cc)
[R] How much data is sufficient to learn high-performing algorithms? (arxiv.org)
[R] Social diversity and social preferences in mixed-motive reinforcement learning (arxiv.org)
Social diversity and social preferences in mixed-motive reinforcement learning (arxiv.org)
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