Reinforcement Learning

Mastering Atari Games with Limited Data NeurIPS 2021 Mastering Atari with Discrete World Models ICLR 2021 Mean Field Games Flock! The Reinforcement Learning Way IJCAI 2021 Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning AAAI 2021 Mechanism Design for Facility Location Problems: A Survey IJCAI 2021 MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning ICCV 2021 Megaverse: Simulating Embodied Agents at One Million Experiences per Second ICML 2021 ME-MCTS: Online Generalization by Combining Multiple Value Estimators IJCAI 2021 MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration ICML 2021 Meta-Model-Based Meta-Policy Optimization ACML 2021 Meta-Reinforcement Learning by Tracking Task Non-stationarity IJCAI 2021 Meta-Reinforcement Learning for Mastering Multiple Skills and Generalizing across Environments in Text-based Games ACL 2021 Metrics and Continuity in Reinforcement Learning AAAI 2021 MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks IJCAI 2021 MICo: Improved representations via sampling-based state similarity for Markov decision processes NeurIPS 2021 Minimax Model Learning AISTATS 2021 Minimax Regret for Stochastic Shortest Path NeurIPS 2021 Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition COLT 2021 Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes AAAI 2021 Minimax sample complexity for turn-based stochastic game UAI 2021 Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots CoRL 2021 Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach ACL 2021 Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage NeurIPS 2021 Mitigating Political Bias in Language Models through Reinforced Calibration AAAI 2021 MobILE: Model-Based Imitation Learning From Observation Alone NeurIPS 2021