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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

Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control NeurIPS 2024 CALE: Continuous Arcade Learning Environment NeurIPS 2024 Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms L4DC 2024 COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL ICLR 2024 CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity ICLR 2024 Diffusion Actor-Critic with Entropy Regulator NeurIPS 2024 Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization NeurIPS 2024 Diffusion Imitation from Observation NeurIPS 2024 DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors NeurIPS 2024 Do's and Don'ts: Learning Desirable Skills with Instruction Videos NeurIPS 2024 DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization ICLR 2024 Efficient Reinforcement Learning by Discovering Neural Pathways NeurIPS 2024 EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data ICML 2024 Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach NeurIPS 2024 ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation AAAI 2024 Federated Ensemble-Directed Offline Reinforcement Learning NeurIPS 2024 Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations ICLR 2024 Growing Q-networks: Solving continuous control tasks with adaptive control resolution L4DC 2024 Hybrid Inverse Reinforcement Learning ICML 2024 Identifying Policy Gradient Subspaces ICLR 2024 Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning NeurIPS 2024 Learning Continuous 3D Words for Text-to-Image Generation CVPR 2024 Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient NeurIPS 2024 Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control NeurIPS 2024 On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control JMLR 2024