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Reinforcement Learning

767 directly classified papers

Papers per year

Papers

Distributional Policy Optimization: An Alternative Approach for Continuous Control NIPS 2019
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning NIPS 2019
Learning from Trajectories via Subgoal Discovery NIPS 2019
Planning in entropy-regularized Markov decision processes and games NIPS 2019
Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling NIPS 2019
Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm NIPS 2019
Explicit Planning for Efficient Exploration in Reinforcement Learning NIPS 2019
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning NIPS 2019
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints NIPS 2019
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning NIPS 2019
Learning Abstract Options NIPS 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning NIPS 2018
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents NIPS 2018
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning NIPS 2018
Unsupervised Video Object Segmentation for Deep Reinforcement Learning NIPS 2018
Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization NIPS 2018
Transfer of Value Functions via Variational Methods NIPS 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries NIPS 2018
Evolution-Guided Policy Gradient in Reinforcement Learning NIPS 2018
Iterative Value-Aware Model Learning NIPS 2018
Evolved Policy Gradients NIPS 2018
Transfer of Deep Reactive Policies for MDP Planning NIPS 2018
Deep Reinforcement Learning of Marked Temporal Point Processes NIPS 2018
Object-Oriented Dynamics Predictor NIPS 2018
Policy Optimization via Importance Sampling NIPS 2018