conftrace_

deep deterministic policy gradient

22 papers

Explore in graph

Also known as

DDPG

Co-occurring keywords

continuous control (246) reinforcement learning (4352) deep reinforcement learning (903) sample efficiency (472) continuous action space (42) multi-agent reinforcement learning (538) actor-critic algorithm (24) model-based reinforcement learning (415) policy gradient (520) multi-task learning (2575)

Papers

FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025
Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization AISTATS 2024
Fuel-Saving Route Planning with Data-Driven and Learning-Based Approaches – A Systematic Solution for Harbor Tugs IJCAI 2024
Off-Policy Average Reward Actor-Critic with Deterministic Policy Search ICML 2023
Reinforcement Learning For Sepsis Treatment: A Continuous Action Space Solution MLHC 2022
Escaping from zero gradient: Revisiting action-constrained reinforcement learning via Frank-Wolfe policy optimization UAI 2021
FACMAC: Factored Multi-Agent Centralised Policy Gradients NIPS 2021
Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service AAAI 2021
Leveraging on Deep Reinforcement Learning for Autonomous Safe Decision-Making in Highway On-ramp Merging (Student Abstract) AAAI 2021
Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law AAAI 2021
Deterministic Value-Policy Gradients AAAI 2020
Softmax Deep Double Deterministic Policy Gradients NIPS 2020
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems AAAI 2019
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient AAAI 2019
Self-Supervised Mixture-of-Experts by Uncertainty Estimation AAAI 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning ICML 2019
Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations ICCV 2019
Self-Adaptive Double Bootstrapped DDPG IJCAI 2018
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control ICML 2018
Learning to Explore via Meta-Policy Gradient ICML 2018
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously CORL 2017
Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning CORL 2017