multi-agent learning

Contextual Games: Multi-Agent Learning with Side Information NeurIPS 2020 Differentially-Private Federated Linear Bandits NeurIPS 2020 Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games ICML 2020 From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics ICML 2020 Generative Exploration and Exploitation AAAI 2020 Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent JMLR 2020 Jelly Bean World: A Testbed for Never-Ending Learning ICLR 2020 Learning Strategic Network Emergence Games NeurIPS 2020 Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning IJCAI 2020 R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games ICML 2020 Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents ACL 2020 Reserve Pricing in Repeated Second-Price Auctions with Strategic Bidders ICML 2020 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving CoRL 2020 Contextual Bandits with Cross-Learning NeurIPS 2019 Convergence Analysis of Gradient-Based Learning in Continuous Games UAI 2019 Learning to Correlate in Multi-Player General-Sum Sequential Games NeurIPS 2019 Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach NeurIPS 2019 Multi-Agent Dual Learning ICLR 2019 Multi-agent Learning for Neural Machine Translation EMNLP 2019 No-Regret Learning in Unknown Games with Correlated Payoffs NeurIPS 2019 Stable Opponent Shaping in Differentiable Games ICLR 2019 Towards Efficient Detection and Optimal Response against Sophisticated Opponents IJCAI 2019 Word-order Biases in Deep-agent Emergent Communication ACL 2019 Actor-Critic Policy Optimization in Partially Observable Multiagent Environments NeurIPS 2018 DiCE: The Infinitely Differentiable Monte Carlo Estimator ICML 2018