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Reinforcement Learning

2,932 papers

Papers per year

Papers

PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation ICML 2022
AME: Attention and Memory Enhancement in Hyper-Parameter Optimization CVPR 2022
Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments NIPS 2022
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning NIPS 2022
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses ICML 2022
A Shoulder to Cry on: Towards A Motivational Virtual Assistant for Assuaging Mental Agony NAACL 2022
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition NAACL 2022
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization ACL 2022
MuMu: Cooperative Multitask Learning-Based Guided Multimodal Fusion AAAI 2022
Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness NIPS 2022
Goal Misgeneralization in Deep Reinforcement Learning ICML 2022
Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games NIPS 2022
Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information L4DC 2022
Modeling Human Exploration Through Resource-Rational Reinforcement Learning NIPS 2022
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes ICML 2022
Experience Replay with Likelihood-free Importance Weights L4DC 2022
Minimax Regret for Cascading Bandits NIPS 2022
A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization AISTATS 2022
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning ICML 2022
PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding NAACL 2022
Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior NIPS 2022
Making Linear MDPs Practical via Contrastive Representation Learning ICML 2022
Deep Reinforcement Learning Policies Learn Shared Adversarial Features across MDPs AAAI 2022
Meta-Learning Hypothesis Spaces for Sequential Decision-making ICML 2022
On Instrumental Variable Regression for Deep Offline Policy Evaluation JMLR 2022