conftrace_

continuous action space

42 papers

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Co-occurring keywords

reinforcement learning (4352) continuous action (21) continuous control (246) policy gradient (520) deep reinforcement learning (903) sample efficiency (472) deep deterministic policy gradient (22) optimal control (218) multi-agent reinforcement learning (538) regret bound (1926)

Papers

Quantum Lipschitz Bandits AAAI 2026
CAMAR: Continuous Actions Multi-Agent Routing AAAI 2026
Counterfactual Explanations for Continuous Action Reinforcement Learning IJCAI 2025
Visual Reinforcement Learning with Residual Action AAAI 2025
Low-rank MDPs with Continuous Action Spaces AISTATS 2024
Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control NIPS 2024
A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees AAAI 2024
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking NIPS 2024
Learning to Self-Reconfigure for Freeform Modular Robots via Altruism Proximal Policy Optimization IJCAI 2023
Sample-based Distributional Policy Gradient L4DC 2022
Reinforcement Learning For Sepsis Treatment: A Continuous Action Space Solution MLHC 2022
Contextual Bandits with Large Action Spaces: Made Practical ICML 2022
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution IJCAI 2022
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces ICML 2022
Deterministic policy gradient: Convergence analysis UAI 2022
Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces ICML 2022
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives NIPS 2021
Aligning an optical interferometer with beam divergence control and continuous action space CORL 2021
Value Iteration in Continuous Actions, States and Time ICML 2021
Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery AAAI 2021
Toward Robust Long Range Policy Transfer AAAI 2021
Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management AAAI 2020
Expected Policy Gradients for Reinforcement Learning JMLR 2020
Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method NIPS 2020
Inferring DQN structure for high-dimensional continuous control ICML 2020