← Learning Types
Machine Learning › Learning Types ›

Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Counterfactual Programming for Optimal Control L4DC 2020
Stochastic bandits with arm-dependent delays ICML 2020
PackIt: A Virtual Environment for Geometric Planning ICML 2020
Machine-oriented NMT Adaptation for Zero-shot NLP tasks: Comparing the Usefulness of Close and Distant Languages COLING 2020
Generating Persona Consistent Dialogues by Exploiting Natural Language Inference AAAI 2020
Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training CVPR 2020
Bounded Rationality in Las Vegas: Probabilistic Finite Automata Play Multi-Armed Bandits UAI 2020
Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling L4DC 2020
Learning the model-free linear quadratic regulator via random search L4DC 2020
Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated models L4DC 2020
Lyceum: An efficient and scalable ecosystem for robot learning L4DC 2020
Learning to Plan via Deep Optimistic Value Exploration L4DC 2020
Fair Contextual Multi-Armed Bandits: Theory and Experiments UAI 2020
On the design of consequential ranking algorithms UAI 2020
Regret Analysis of Bandit Problems with Causal Background Knowledge UAI 2020
Learning Behaviors with Uncertain Human Feedback UAI 2020
Learning Intrinsic Rewards as a Bi-Level Optimization Problem UAI 2020
Randomized Exploration for Non-Stationary Stochastic Linear Bandits UAI 2020
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise UAI 2020
Efficient Object Detection in Large Images Using Deep Reinforcement Learning WACV 2020
AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity AISTATS 2020
Balancing Learning Speed and Stability in Policy Gradient via Adaptive Exploration AISTATS 2020
Conservative Exploration in Reinforcement Learning AISTATS 2020
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising ICML 2020
From Importance Sampling to Doubly Robust Policy Gradient ICML 2020