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

Optimal Estimation of Policy Gradient via Double Fitted Iteration ICML 2022
Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning AISTATS 2022
Safe Optimal Design with Applications in Off-Policy Learning AISTATS 2022
On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction AISTATS 2022
Learning Expected Emphatic Traces for Deep RL AAAI 2022
On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation NIPS 2022
An Analytical Update Rule for General Policy Optimization ICML 2022
Implicitly Regularized RL with Implicit Q-values AISTATS 2022
Off-Policy Reinforcement Learning with Delayed Rewards ICML 2022
Action-modulated midbrain dopamine activity arises from distributed control policies NIPS 2022
Batch size-invariance for policy optimization NIPS 2022
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks L4DC 2022
Towards Robust Off-Policy Learning for Runtime Uncertainty AAAI 2022
IMO^3: Interactive Multi-Objective Off-Policy Optimization IJCAI 2022
Truncated Emphatic Temporal Difference Methods for Prediction and Control JMLR 2022
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification NIPS 2022
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning AAAI 2021
Non-Stationary Off-Policy Optimization AISTATS 2021
Minimax Model Learning AISTATS 2021
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning ICML 2021
Breaking the Deadly Triad with a Target Network ICML 2021
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality ICML 2021
Cautious Actor-Critic ACML 2021
Data-efficient Hindsight Off-policy Option Learning ICML 2021
Learning and Planning in Average-Reward Markov Decision Processes ICML 2021