conftrace_

policy search

87 papers

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Co-occurring keywords

reinforcement learning (4352) policy optimization (657) markov decision process (790) bayesian optimization (624) model-based reinforcement learning (415) continuous control (246) gaussian process (1200) data augmentation (3052) policy gradient (520) black-box optimization (183)

Papers

Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics AAAI 2026
Data-Efficient Policy Evaluation Through Behavior Policy Search JMLR 2024
Resilient Constrained Reinforcement Learning AISTATS 2024
FedAvP: Augment Local Data via Shared Policy in Federated Learning NIPS 2024
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control JMLR 2024
Reinforcement learning-driven parametric curve fitting for snake robot gait design L4DC 2024
Heuristic Search for Multi-Objective Probabilistic Planning AAAI 2023
Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract) AAAI 2023
Globally Convergent Policy Search for Output Estimation NIPS 2022
Explicable Policy Search NIPS 2022
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning JMLR 2022
PG3: Policy-Guided Planning for Generalized Policy Generation IJCAI 2022
Dimensionality Reduction and Prioritized Exploration for Policy Search AISTATS 2022
CUP: Critic-Guided Policy Reuse NIPS 2022
Deep Coherent Exploration for Continuous Control ICML 2021
Local policy search with Bayesian optimization NIPS 2021
Redundancy Resolution as Action Bias in Policy Search for Robotic Manipulation CORL 2021
Cautious Bayesian Optimization for Efficient and Scalable Policy Search L4DC 2021
Searching for Alignment in Face Recognition AAAI 2021
Safe non-smooth black-box optimization with application to policy search L4DC 2020
Preference-based Reinforcement Learning with Finite-Time Guarantees NIPS 2020
Learning to Model Opponent Learning (Student Abstract) AAAI 2020
Gradient-Aware Model-Based Policy Search AAAI 2020
High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization NIPS 2020
Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework AAAI 2020