conftrace_

Reinforcement Learning

9,982 papers (145 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Methods (8,258) Applications (3,394)

Papers per year

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Papers (including subtopics)

Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning ICML 2024 Meta-Reinforcement Learning via Exploratory Task Clustering AAAI 2024 Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NeurIPS 2024 MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024 MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator IJCAI 2024 MILES: Making Imitation Learning Easy with Self-Supervision CoRL 2024 Mimicking Better by Matching the Approximate Action Distribution ICML 2024 Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition AAAI 2024 Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games NeurIPS 2024 MimicTouch: Leveraging Multi-modal Human Tactile Demonstrations for Contact-rich Manipulation CoRL 2024 MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization AISTATS 2024 Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value ICML 2024 Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NeurIPS 2024 Minimax-optimal reward-agnostic exploration in reinforcement learning COLT 2024 MIRAGE: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting RSS 2024 Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction NeurIPS 2024 Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning COLT 2024 Mitigating Open-Vocabulary Caption Hallucinations EMNLP 2024 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NeurIPS 2024 Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NeurIPS 2024 Mitigating the Alignment Tax of RLHF EMNLP 2024 Mixtures of Experts Unlock Parameter Scaling for Deep RL ICML 2024 Model-based Diffusion for Trajectory Optimization NeurIPS 2024 Model-based Policy Optimization under Approximate Bayesian Inference AISTATS 2024 Model-based Reinforcement Learning for Confounded POMDPs ICML 2024