Reinforcement Learning

ASID: Active Exploration for System Identification in Robotic Manipulation ICLR 2024 Assume-Guarantee Reinforcement Learning AAAI 2024 A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning NeurIPS 2024 Augmented Bayesian Policy Search ICLR 2024 Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation AAAI 2024 Balancing Context Length and Mixing Times for Reinforcement Learning at Scale NeurIPS 2024 Beyond Optimism: Exploration With Partially Observable Rewards NeurIPS 2024 Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators NeurIPS 2024 Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies ICLR 2024 Blending Imitation and Reinforcement Learning for Robust Policy Improvement ICLR 2024 BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO NeurIPS 2024 Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game ICLR 2024 Cascading Reinforcement Learning ICLR 2024 Causal Imitation for Markov Decision Processes: a Partial Identification Approach NeurIPS 2024 Causally Aligned Curriculum Learning ICLR 2024 C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NeurIPS 2024 Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform ICLR 2024 Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code EMNLP 2024 Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning ICLR 2024 Confident Natural Policy Gradient for Local Planning in q_π-realizable Constrained MDPs NeurIPS 2024 CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity ICLR 2024 Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL NeurIPS 2024 Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling NeurIPS 2024 Decoupling regularization from the action space ICLR 2024 Deep Reinforcement Learning for Communication Networks AAAI 2024