Reinforcement Learning

Reinforcement Learning for Solving Stochastic Vehicle Routing Problem ACML 2023 Rephrasing the Reference for Non-autoregressive Machine Translation AAAI 2023 Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay ICLR 2023 Representation-Driven Reinforcement Learning ICML 2023 Representation Learning in Deep RL via Discrete Information Bottleneck AISTATS 2023 Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments ICLR 2023 Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching ICLR 2023 Reward-Based Negotiating Agent Strategies AAAI 2023 Reward Gaming in Conditional Text Generation ACL 2023 RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs ACL 2023 RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning AAAI 2023 Robust Average-Reward Markov Decision Processes AAAI 2023 Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers AAAI 2023 RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking AAAI 2023 Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier ICLR 2023 Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation ICML 2023 Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities NeurIPS 2023 Scaling Laws for Reward Model Overoptimization ICML 2023 Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation ICLR 2023 SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation AAAI 2023 Self-Evaluation Guided Beam Search for Reasoning NeurIPS 2023 Siamese-Discriminant Deep Reinforcement Learning for Solving Jigsaw Puzzles with Large Eroded Gaps AAAI 2023 Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning ICML 2023 Simplified Temporal Consistency Reinforcement Learning ICML 2023 Simultaneously Updating All Persistence Values in Reinforcement Learning AAAI 2023