Reinforcement Learning

Interesting Object, Curious Agent: Learning Task-Agnostic Exploration NeurIPS 2021 Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning L4DC 2021 Inverse Constrained Reinforcement Learning ICML 2021 Inverse Reinforcement Learning From Like-Minded Teachers AAAI 2021 Inverse Reinforcement Learning with Explicit Policy Estimates AAAI 2021 Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies NeurIPS 2021 Is Pessimism Provably Efficient for Offline RL? ICML 2021 Kernel-Based Reinforcement Learning: A Finite-Time Analysis ICML 2021 Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning EMNLP 2021 Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments EMNLP 2021 Language Resource Efficient Learning for Captioning EMNLP 2021 LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract) AAAI 2021 Learning and Analyzing Generation Order for Undirected Sequence Models EMNLP 2021 Learning and Planning in Average-Reward Markov Decision Processes ICML 2021 Learning from eXtreme Bandit Feedback AAAI 2021 Learning Generalizable Robotic Reward Functions from “In-The-Wild” Human Videos RSS 2021 Learning in Non-Cooperative Configurable Markov Decision Processes NeurIPS 2021 Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation IJCAI 2021 Learning Rewards From Linguistic Feedback AAAI 2021 Learning Routines for Effective Off-Policy Reinforcement Learning ICML 2021 Learning Task-Distribution Reward Shaping with Meta-Learning AAAI 2021 Learning Task Informed Abstractions ICML 2021 Learning Task Sampling Policy for Multitask Learning EMNLP 2021 Learning to Actively Reduce Memory Requirements for Robot Control Tasks L4DC 2021 Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild CVPR 2021