Reinforcement Learning

Learning from Bootstrapping and Stepwise Reinforcement Reward: A Semi-Supervised Framework for Text Style Transfer NAACL 2022 Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation ICML 2022 Learning Generalizable Dexterous Manipulation from Human Grasp Affordance CoRL 2022 Learning General World Models in a Handful of Reward-Free Deployments NeurIPS 2022 Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping CoRL 2022 Learning Graphon Mean Field Games and Approximate Nash Equilibria ICLR 2022 Learning Infinite-horizon Average-reward Markov Decision Process with Constraints ICML 2022 Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness NeurIPS 2022 Learning in Markov games: Can we exploit a general-sum opponent? UAI 2022 Learning Interpretable, High-Performing Policies for Autonomous Driving RSS 2022 Learning Long-Term Crop Management Strategies with CyclesGym NeurIPS 2022 Learning Long-Term Reward Redistribution via Randomized Return Decomposition ICLR 2022 Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation CoRL 2022 Learning more skills through optimistic exploration ICLR 2022 Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning NeurIPS 2022 Learning Object-Oriented Dynamics for Planning from Text ICLR 2022 Learning Options via Compression NeurIPS 2022 Learning POMDP Models with Similarity Space Regularization: a Linear Gaussian Case Study L4DC 2022 Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning ACML 2022 Learning Pseudometric-based Action Representations for Offline Reinforcement Learning ICML 2022 Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning NeurIPS 2022 Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization AAAI 2022 Learning Semantics-Aware Locomotion Skills from Human Demonstration CoRL 2022 Learning Stochastic Shortest Path with Linear Function Approximation ICML 2022 Learning Synthetic Environments and Reward Networks for Reinforcement Learning ICLR 2022