Reinforcement Learning

Reinforcement Learning for Mean Field Games with Strategic Complementarities AISTATS 2021 Reinforcement learning for optimization of variational quantum circuit architectures NeurIPS 2021 Reinforcement Learning for Route Optimization with Robustness Guarantees IJCAI 2021 Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment IJCAI 2021 Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection NeurIPS 2021 Reinforcement Learning in Newcomblike Environments NeurIPS 2021 Reinforcement Learning in Parametric MDPs with Exponential Families AISTATS 2021 Reinforcement Learning in Reward-Mixing MDPs NeurIPS 2021 Reinforcement Learning of Implicit and Explicit Control Flow Instructions ICML 2021 Reinforcement Learning of Sequential Price Mechanisms AAAI 2021 Reinforcement Learning Under Moral Uncertainty ICML 2021 Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation AAAI 2021 Reinforcement Learning with Latent Flow NeurIPS 2021 Reinforcement Learning with Prototypical Representations ICML 2021 Reinforcement Learning with Random Delays ICLR 2021 Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes NeurIPS 2021 Reinforcement Learning with Trajectory Feedback AAAI 2021 Relation Also Need Attention: Integrating Relation Information Into Image Captioning ACML 2021 Relative Variational Intrinsic Control AAAI 2021 REPAINT: Knowledge Transfer in Deep Reinforcement Learning ICML 2021 Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification NeurIPS 2021 Replay-Guided Adversarial Environment Design NeurIPS 2021 Representation Balancing Offline Model-based Reinforcement Learning ICLR 2021 Representation Learning for Event-based Visuomotor Policies NeurIPS 2021 Representation Matters: Offline Pretraining for Sequential Decision Making ICML 2021