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

Average-Reward Learning and Planning with Options NIPS 2021
Tactical Optimism and Pessimism for Deep Reinforcement Learning NIPS 2021
On Convergence of Gradient Expected Sarsa(λ) AAAI 2021
Outcome-Driven Reinforcement Learning via Variational Inference NIPS 2021
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning NIPS 2021
Continual Auxiliary Task Learning NIPS 2021
Structural Credit Assignment in Neural Networks using Reinforcement Learning NIPS 2021
TAAC: Temporally Abstract Actor-Critic for Continuous Control NIPS 2021
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators NIPS 2021
Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates NIPS 2021
Generalized Proximal Policy Optimization with Sample Reuse NIPS 2021
Deep Reinforcement Learning amidst Continual Structured Non-Stationarity ICML 2021
Solving Continuous Control with Episodic Memory IJCAI 2021
Breaking the Deadly Triad with a Target Network ICML 2021
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality ICML 2021
Data-efficient Hindsight Off-policy Option Learning ICML 2021
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient ICML 2021
Learning and Planning in Average-Reward Markov Decision Processes ICML 2021
Safe Reinforcement Learning Using Advantage-Based Intervention ICML 2021
Partial Off-Policy Learning: Balance Accuracy and Diversity for Human-Oriented Image Captioning ICCV 2021
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning ICML 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training ICML 2021
Revisiting Peng’s Q($λ$) for Modern Reinforcement Learning ICML 2021
Cautious Actor-Critic ACML 2021
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks AAAI 2020