Reinforcement Learning

Successor Feature Sets: Generalizing Successor Representations Across Policies AAAI 2021 Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding NeurIPS 2021 Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning NeurIPS 2021 Targeted Data Acquisition for Evolving Negotiation Agents ICML 2021 Task-Optimal Exploration in Linear Dynamical Systems ICML 2021 Temporal Induced Self-Play for Stochastic Bayesian Games IJCAI 2021 Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks AAAI 2021 Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ICML 2021 The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition NeurIPS 2021 Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation AAAI 2021 The Sample Complexity of Teaching by Reinforcement on Q-Learning AAAI 2021 The Successful Ingredients of Policy Gradient Algorithms IJCAI 2021 The Value-Improvement Path: Towards Better Representations for Reinforcement Learning AAAI 2021 Thompson Sampling Algorithms for Cascading Bandits JMLR 2021 Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning AAAI 2021 Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning NeurIPS 2021 Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract) AAAI 2021 Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery AAAI 2021 Transfer Learning for Efficient Iterative Safety Validation AAAI 2021 Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL NeurIPS 2021 Two steps to risk sensitivity NeurIPS 2021 UCB Momentum Q-learning: Correcting the bias without forgetting ICML 2021 Unanswerable Question Correction in Question Answering over Personal Knowledge Base AAAI 2021 Understanding the Effect of Stochasticity in Policy Optimization NeurIPS 2021 UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning ICML 2021