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off-policy reinforcement learning

34 papers

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Co-occurring keywords

off-policy learning (228) reinforcement learning (4352) deep reinforcement learning (903) function approximation (319) policy optimization (657) sample efficiency (472) continual learning (1181) representation learning (6206) convergence guarantee (169) action space (47)

Papers

Behaviour Policy Optimization: Provably Lower Variance Return Estimates for Off-Policy Reinforcement Learning AAAI 2026
Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation AAAI 2024
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset NIPS 2024
Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes JMLR 2023
Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation ICML 2023
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees AISTATS 2023
Hyperparameter Tuning of an Off-Policy Reinforcement Learning Algorithm for H∞ Tracking Control L4DC 2023
Off-Policy Average Reward Actor-Critic with Deterministic Policy Search ICML 2023
When is Realizability Sufficient for Off-Policy Reinforcement Learning? ICML 2023
Goal-Conditioned Q-learning as Knowledge Distillation AAAI 2023
Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract) AAAI 2023
Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems ACL 2023
Off-Policy Reinforcement Learning with Delayed Rewards ICML 2022
Marginalized Operators for Off-policy Reinforcement Learning AISTATS 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels ICML 2022
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning NIPS 2021
Deep Reinforcement Learning amidst Continual Structured Non-Stationarity ICML 2021
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning ICML 2021
Learning Routines for Effective Off-Policy Reinforcement Learning ICML 2021
Counterfactual Data Augmentation using Locally Factored Dynamics NIPS 2020
Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration NIPS 2020
Reinforcing an Image Caption Generator Using Off-Line Human Feedback AAAI 2020
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? ICML 2020
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation ICML 2020
Learning Object-conditioned Exploration using Distributed Soft Actor Critic CORL 2020