Methods

Krylov–Bellman boosting: Super-linear policy evaluation in general state spaces AISTATS 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 Model Alignment with Elastic Reset NeurIPS 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 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 Learning Belief Representations for Partially Observable Deep RL ICML 2023 Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning NeurIPS 2023 Learning Compiler Pass Orders using Coreset and Normalized Value Prediction ICML 2023 Learning Compositional Tasks from Language Instructions AAAI 2023 Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees AAAI 2023 Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning NeurIPS 2023 Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient AAAI 2023 Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees ICML 2023 Learning from Active Human Involvement through Proxy Value Propagation NeurIPS 2023 Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning AAAI 2023