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Deep RL

3,861 papers

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Papers

The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning NIPS 2022
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward NIPS 2022
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning NIPS 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? NIPS 2022
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning NIPS 2022
Provable Benefit of Multitask Representation Learning in Reinforcement Learning NIPS 2022
Modeling Human Exploration Through Resource-Rational Reinforcement Learning NIPS 2022
BYOL-Explore: Exploration by Bootstrapped Prediction NIPS 2022
Factored Adaptation for Non-Stationary Reinforcement Learning NIPS 2022
Robust Reinforcement Learning using Offline Data NIPS 2022
Model-based Lifelong Reinforcement Learning with Bayesian Exploration NIPS 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design NIPS 2022
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning NIPS 2022
Approximate Value Equivalence NIPS 2022
Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning NIPS 2022
Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback NIPS 2022
A Boosting Approach to Reinforcement Learning NIPS 2022
Improving Intrinsic Exploration with Language Abstractions NIPS 2022
Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments NIPS 2022
PALMER: Perception - Action Loop with Memory for Long-Horizon Planning NIPS 2022
Enhancing Safe Exploration Using Safety State Augmentation NIPS 2022
Unsupervised Reinforcement Learning with Contrastive Intrinsic Control NIPS 2022
Rethinking Value Function Learning for Generalization in Reinforcement Learning NIPS 2022
PerfectDou: Dominating DouDizhu with Perfect Information Distillation NIPS 2022
Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework NIPS 2022