Reinforcement Learning

Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control NeurIPS 2023 Kernel Conditional Moment Constraints for Confounding Robust Inference AISTATS 2023 Know Your Enemy: Identifying Adversarial Behaviours in Deep Reinforcement Learning Agents (Student Abstract) AAAI 2023 KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning EMNLP 2023 Krylov–Bellman boosting: Super-linear policy evaluation in general state spaces AISTATS 2023 KuaiSim: A Comprehensive Simulator for Recommender Systems NeurIPS 2023 KURL: A Knowledge-Guided Reinforcement Learning Model for Active Object Tracking ACML 2023 Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning ICML 2023 Language Instructed Reinforcement Learning for Human-AI Coordination ICML 2023 Language Model Alignment with Elastic Reset NeurIPS 2023 LapGym - An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery JMLR 2023 Large Decision Models IJCAI 2023 Large-State Reinforcement Learning for Hyper-Heuristics AAAI 2023 Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games AISTATS 2023 Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs NeurIPS 2023 Latent exploration for Reinforcement Learning NeurIPS 2023 Latent State Marginalization as a Low-cost Approach for Improving Exploration ICLR 2023 Layered State Discovery for Incremental Autonomous Exploration ICML 2023 Layout-Aware Dreamer for Embodied Visual Referring Expression Grounding AAAI 2023 Layout-Based Causal Inference for Object Navigation CVPR 2023 Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning ICML 2023 Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection ICLR 2023 Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward ICLR 2023 Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback NeurIPS 2023 Learning and Adapting Agile Locomotion Skills by Transferring Experience RSS 2023