Methods

Universal Trading for Order Execution with Oracle Policy Distillation AAAI 2021 Unsupervised Conversation Disentanglement through Co-Training EMNLP 2021 Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning NeurIPS 2021 Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach CVPR 2021 Unsupervised program synthesis for images by sampling without replacement UAI 2021 Unsupervised Visual Attention and Invariance for Reinforcement Learning CVPR 2021 Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients CoRL 2021 Using Question Answering Rewards to Improve Abstractive Summarization EMNLP 2021 Value-Decomposition Multi-Agent Actor-Critics AAAI 2021 Value Iteration in Continuous Actions, States and Time ICML 2021 Variable Frame Rate Acoustic Models Using Minimum Error Reinforcement Learning Interspeech 2021 Variance-Aware Off-Policy Evaluation with Linear Function Approximation NeurIPS 2021 Variance Penalized On-Policy and Off-Policy Actor-Critic AAAI 2021 Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems NeurIPS 2021 Variational Bayesian Reinforcement Learning with Regret Bounds NeurIPS 2021 Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning ICML 2021 Variational Intrinsic Control Revisited ICLR 2021 Variational Model-based Policy Optimization IJCAI 2021 VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning JMLR 2021 VAST: Value Function Factorization with Variable Agent Sub-Teams NeurIPS 2021 Vector Quantized Models for Planning ICML 2021 Verifying Reinforcement Learning up to Infinity IJCAI 2021 Visual Adversarial Imitation Learning using Variational Models NeurIPS 2021 Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images AAAI 2021 Visual-Locomotion: Learning to Walk on Complex Terrains with Vision CoRL 2021