Deep RL

Reinforcement Learning for Route Optimization with Robustness Guarantees IJCAI 2021 Reinforcement Learning in Newcomblike Environments NeurIPS 2021 Reinforcement Learning in Parametric MDPs with Exponential Families AISTATS 2021 Reinforcement Learning of Sequential Price Mechanisms AAAI 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 Replay-Guided Adversarial Environment Design NeurIPS 2021 Return-Based Contrastive Representation Learning for Reinforcement Learning ICLR 2021 Revisiting Peng’s Q($λ$) for Modern Reinforcement Learning ICML 2021 Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research ICML 2021 Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation NAACL 2021 Reward based Hebbian Learning in Direct Feedback Alignment (Student Abstract) AAAI 2021 Reward Biased Maximum Likelihood Estimation for Reinforcement Learning L4DC 2021 Reward Identification in Inverse Reinforcement Learning ICML 2021 RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation ACL 2021 Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization EMNLP 2021 Risk-Averse Learning by Temporal Difference Methods with Markov Risk Measures JMLR 2021 Risk-Averse Offline Reinforcement Learning ICLR 2021