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Policy Learning

2068 directly classified papers

Papers per year

Papers

Policy Optimization with Second-Order Advantage Information IJCAI 2018
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces IJCAI 2018
Maximum Causal Tsallis Entropy Imitation Learning NIPS 2018
Time Limits in Reinforcement Learning ICML 2018
The Uncertainty Bellman Equation and Exploration ICML 2018
Hierarchical Imitation and Reinforcement Learning ICML 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries 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
Differentiable MPC for End-to-end Planning and Control NIPS 2018
Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning ICML 2018
Learning to Act in Decentralized Partially Observable MDPs ICML 2018
Occam's razor is insufficient to infer the preferences of irrational agents NIPS 2018
Verifiable Reinforcement Learning via Policy Extraction NIPS 2018
Markov Decision Processes with Continuous Side Information ALT 2018
Convergence of Value Aggregation for Imitation Learning AISTATS 2018
Multi-Level Policy and Reward Reinforcement Learning for Image Captioning IJCAI 2018
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning IJCAI 2018
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator ICML 2018
Learning Environmental Calibration Actions for Policy Self-Evolution IJCAI 2018
On Learning Intrinsic Rewards for Policy Gradient Methods NIPS 2018
Fast Model Identification via Physics Engines for Data-Efficient Policy Search IJCAI 2018