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Policy Learning

2068 directly classified papers

Papers per year

Papers

Addressing Function Approximation Error in Actor-Critic Methods ICML 2018
Clipped Action Policy Gradient ICML 2018
Feedback-Based Tree Search for Reinforcement Learning ICML 2018
Policy Optimization with Demonstrations ICML 2018
Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling ICML 2018
Dual Policy Iteration NIPS 2018
Non-delusional Q-learning and value-iteration NIPS 2018
Balanced Policy Evaluation and Learning NIPS 2018
Learning Abstract Options NIPS 2018
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing NIPS 2018
Configurable Markov Decision Processes ICML 2018
Smoothed Action Value Functions for Learning Gaussian Policies ICML 2018
Stochastic Variance-Reduced Policy Gradient ICML 2018
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos ICML 2018
An Inference-Based Policy Gradient Method for Learning Options ICML 2018
Convergent Tree Backup and Retrace with Function Approximation ICML 2018
Learning to Explore via Meta-Policy Gradient ICML 2018
Policy Optimization as Wasserstein Gradient Flows ICML 2018
Improving Reinforcement Learning with Confidence-Based Demonstrations IJCAI 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning NIPS 2017
Cold-Start Reinforcement Learning with Softmax Policy Gradient NIPS 2017
Adaptive Batch Size for Safe Policy Gradients NIPS 2017
Compatible Reward Inverse Reinforcement Learning NIPS 2017
Is the Bellman residual a bad proxy? NIPS 2017
Policy Gradient With Value Function Approximation For Collective Multiagent Planning NIPS 2017