Deep RL

Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients AISTATS 2024 Privileged Sensing Scaffolds Reinforcement Learning ICLR 2024 Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games ACL 2024 Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs COLT 2024 Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences CVPR 2024 Prompt-Based Length Controlled Generation with Multiple Control Types ACL 2024 Proofread: Fixes All Errors with One Tap ACL 2024 Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo ICLR 2024 Provable Partially Observable Reinforcement Learning with Privileged Information NeurIPS 2024 Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NeurIPS 2024 Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NeurIPS 2024 Proximal Curriculum with Task Correlations for Deep Reinforcement Learning IJCAI 2024 Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning ICLR 2024 Pure-Past Action Masking AAAI 2024 PUZZLES: A Benchmark for Neural Algorithmic Reasoning NeurIPS 2024 Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model NeurIPS 2024 QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers NeurIPS 2024 Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent ICML 2024 Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics ICML 2024 Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization ICML 2024 Quality-Diversity with Limited Resources ICML 2024 QueST: Self-Supervised Skill Abstractions for Learning Continuous Control NeurIPS 2024 RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes RSS 2024 Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces NeurIPS 2024 Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NeurIPS 2024