reinforcement learning

Mastering Atari with Discrete World Models ICLR 2021 Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning AAAI 2021 Megaverse: Simulating Embodied Agents at One Million Experiences per Second ICML 2021 Meta-Learning of Structured Task Distributions in Humans and Machines ICLR 2021 Metrics and Continuity in Reinforcement Learning AAAI 2021 Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes AAAI 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 Political Bias in Language Models through Reinforced Calibration AAAI 2021 Modeling Document-Level Context for Event Detection via Important Context Selection EMNLP 2021 Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings MLHC 2021 Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment ICML 2021 Monotonic Robust Policy Optimization with Model Discrepancy ICML 2021 Monte-Carlo Planning and Learning with Language Action Value Estimates ICLR 2021 Move2Hear: Active Audio-Visual Source Separation ICCV 2021 Muesli: Combining Improvements in Policy Optimization ICML 2021 Multi-granularity Textual Adversarial Attack with Behavior Cloning EMNLP 2021 Multi-modal Dependency Tree for Video Captioning NeurIPS 2021 Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic ACML 2021 MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning ICML 2021 Mutual Information State Intrinsic Control ICLR 2021 Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs NeurIPS 2021 Neural Algorithmic Reasoners are Implicit Planners NeurIPS 2021 Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces ICLR 2021 Neuro-Symbolic Approaches for Text-Based Policy Learning EMNLP 2021