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conftrace_

continuous control

364 papers

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Co-occurring keywords · papers mentioning both

reinforcement learning (111) deep reinforcement learning (58) sample efficiency (47) policy gradient (47) model-based reinforcement learning (46) policy optimization (39) off-policy learning (32) imitation learning (31) policy learning (18) offline reinforcement learning (17)

Papers

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024 Policy Gradient Methods in the Presence of Symmetries and State Abstractions JMLR 2024 Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss ICML 2024 PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control ICML 2024 QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration JMLR 2024 QueST: Self-Supervised Skill Abstractions for Learning Continuous Control NeurIPS 2024 Reconciling Spatial and Temporal Abstractions for Goal Representation ICLR 2024 Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control NeurIPS 2024 Relative Policy-Transition Optimization for Fast Policy Transfer AAAI 2024 Rethinking Optimal Transport in Offline Reinforcement Learning NeurIPS 2024 Reward Shaping for Reinforcement Learning with An Assistant Reward Agent ICML 2024 Risk-Aware Continuous Control with Neural Contextual Bandits AAAI 2024 RLIF: Interactive Imitation Learning as Reinforcement Learning ICLR 2024 RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control JMLR 2024 Simplifying Constraint Inference with Inverse Reinforcement Learning NeurIPS 2024 Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning ICLR 2024 Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees NeurIPS 2024 TD-MPC2: Scalable, Robust World Models for Continuous Control ICLR 2024 Time-Constrained Robust MDPs NeurIPS 2024 Time-Efficient Reinforcement Learning with Stochastic Stateful Policies ICLR 2024 Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation AAAI 2024 Unsupervised Object Interaction Learning with Counterfactual Dynamics Models AAAI 2024 TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning NeurIPS 2023 Adaptive Estimation Q-learning with Uncertainty and Familiarity IJCAI 2023 A Long N-step Surrogate Stage Reward for Deep Reinforcement Learning NeurIPS 2023