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Reinforcement Learning › Methods ›

Policy Learning

2,076 papers

Papers per year

23
23
216
153
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Papers

Lifelong Inverse Reinforcement Learning NIPS 2018
Constrained Cross-Entropy Method for Safe Reinforcement Learning NIPS 2018
An Off-policy Policy Gradient Theorem Using Emphatic Weightings NIPS 2018
Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning NIPS 2018
Exponentially Weighted Imitation Learning for Batched Historical Data NIPS 2018
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization NIPS 2018
On Learning Intrinsic Rewards for Policy Gradient Methods NIPS 2018
Learning Temporal Point Processes via Reinforcement Learning NIPS 2018
Non-delusional Q-learning and value-iteration NIPS 2018
Balanced Policy Evaluation and Learning NIPS 2018
Policy Optimization via Importance Sampling NIPS 2018
Simple random search of static linear policies is competitive for reinforcement learning NIPS 2018
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes NIPS 2018
Evolution-Guided Policy Gradient in Reinforcement Learning NIPS 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries NIPS 2018
A Bayesian Approach to Generative Adversarial Imitation Learning NIPS 2018
Credit Assignment For Collective Multiagent RL With Global Rewards NIPS 2018
Learning Beam Search Policies via Imitation Learning NIPS 2018
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning NIPS 2018
Learning Safe Policies with Expert Guidance NIPS 2018
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents NIPS 2018
Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach NIPS 2018
Differentiable MPC for End-to-end Planning and Control NIPS 2018
Learning Abstract Options NIPS 2018
Occam's razor is insufficient to infer the preferences of irrational agents NIPS 2018