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Reinforcement Learning

1263 directly classified papers

Papers per year

Papers

Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images AAAI 2021
Embodied Visual Active Learning for Semantic Segmentation AAAI 2021
SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition AAAI 2021
A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models AAAI 2021
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective AAAI 2021
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving AAAI 2021
Relative Variational Intrinsic Control AAAI 2021
MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents NIPS 2021
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research ICML 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning ICML 2021
Offline Reinforcement Learning with Pseudometric Learning ICML 2021
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables ICML 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL ICML 2021
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration ICML 2021
Emphatic Algorithms for Deep Reinforcement Learning ICML 2021
Self-Improved Retrosynthetic Planning ICML 2021
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning ICML 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot ICML 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ICML 2021
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks ICML 2021
Fast active learning for pure exploration in reinforcement learning ICML 2021
UCB Momentum Q-learning: Correcting the bias without forgetting ICML 2021
PODS: Policy Optimization via Differentiable Simulation ICML 2021
Decoupling Value and Policy for Generalization in Reinforcement Learning ICML 2021
Model-Based Reinforcement Learning via Latent-Space Collocation ICML 2021