Methods

Language Models are Few-Shot Butlers EMNLP 2021 Language Representations for Generalization in Reinforcement Learning ACML 2021 Large Batch Simulation for Deep Reinforcement Learning ICLR 2021 Large-Scale Multi-Agent Deep FBSDEs ICML 2021 Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games COLT 2021 Latent Skill Planning for Exploration and Transfer ICLR 2021 LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution CVPR 2021 Learning 3-opt heuristics for traveling salesman problem via deep reinforcement learning ACML 2021 Learning and Analyzing Generation Order for Undirected Sequence Models EMNLP 2021 Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation JMLR 2021 Learning and Planning in Average-Reward Markov Decision Processes ICML 2021 Learning and Planning in Complex Action Spaces ICML 2021 Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations NeurIPS 2021 Learning Behaviors through Physics-driven Latent Imagination CoRL 2021 Learning Collaborative Policies to Solve NP-hard Routing Problems NeurIPS 2021 Learning Diverse Policies in MOBA Games via Macro-Goals NeurIPS 2021 Learning Domain Invariant Representations in Goal-conditioned Block MDPs NeurIPS 2021 Learning Equilibria in Matching Markets from Bandit Feedback NeurIPS 2021 Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning ICML 2021 Learning Feasibility to Imitate Demonstrators with Different Dynamics CoRL 2021 Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation AISTATS 2021 Learning in Markets: Greed Leads to Chaos but Following the Price is Right IJCAI 2021 Learning in Non-Cooperative Configurable Markov Decision Processes NeurIPS 2021 Learning in Nonzero-Sum Stochastic Games with Potentials ICML 2021 Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation CoRL 2021