conftrace_

off-policy learning

228 papers

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Also known as

OPL

Co-occurring keywords

reinforcement learning (4352) deep reinforcement learning (903) policy gradient (520) sample efficiency (472) continuous control (246) temporal difference learning (149) policy optimization (657) value function (295) off-policy reinforcement learning (34) importance sampling (318)

Papers

A policy gradient approach for optimization of smooth risk measures UAI 2023
Efficient Online Reinforcement Learning with Offline Data ICML 2023
Simultaneously Updating All Persistence Values in Reinforcement Learning AAAI 2023
Why Target Networks Stabilise Temporal Difference Methods ICML 2023
Multi-Task Off-Policy Learning from Bandit Feedback ICML 2023
PAC-Bayesian Offline Contextual Bandits With Guarantees ICML 2023
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm ICML 2023
VA-learning as a more efficient alternative to Q-learning ICML 2023
Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation AAAI 2022
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency AAAI 2022
Towards Off-Policy Learning for Ranking Policies with Logged Feedback AAAI 2022
Safe Optimal Design with Applications in Off-Policy Learning AISTATS 2022
Chaining Value Functions for Off-Policy Learning AAAI 2022
Interpretable Off-Policy Learning via Hyperbox Search ICML 2022
A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning JMLR 2022
A Temporal-Difference Approach to Policy Gradient Estimation ICML 2022
Divergence-Regularized Multi-Agent Actor-Critic ICML 2022
On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction AISTATS 2022
Optimal Estimation of Policy Gradient via Double Fitted Iteration ICML 2022
Model Selection in Batch Policy Optimization ICML 2022
IMO^3: Interactive Multi-Objective Off-Policy Optimization IJCAI 2022
Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning AISTATS 2022
An Analytical Update Rule for General Policy Optimization ICML 2022
Batch size-invariance for policy optimization NIPS 2022
A Unifying Framework of Off-Policy General Value Function Evaluation NIPS 2022