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Policy Learning

2068 directly classified papers

Papers per year

Papers

Off-Policy Imitation Learning from Observations NIPS 2020
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning NIPS 2020
PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning NIPS 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting NIPS 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement NIPS 2020
Meta-Gradient Reinforcement Learning with an Objective Discovered Online NIPS 2020
Error Bounds of Imitating Policies and Environments NIPS 2020
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping NIPS 2020
A Finite-Time Analysis of Two Time-Scale Actor-Critic Methods NIPS 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods NIPS 2020
On Reward-Free Reinforcement Learning with Linear Function Approximation NIPS 2020
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces NIPS 2020
Actor-Double-Critic: Incorporating Model-Based Critic for Task-Oriented Dialogue Systems EMNLP 2020
ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract) AAAI 2020
Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract) AAAI 2020
Hierarchical Average Reward Policy Gradient Algorithms (Student Abstract) AAAI 2020
Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video AAAI 2020
POST: POlicy-Based Switch Tracking AAAI 2020
Learning from Interventions Using Hierarchical Policies for Safe Learning AAAI 2020
The Choice Function Framework for Online Policy Improvement AAAI 2020
Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes AAAI 2020
Learning Calibratable Policies using Programmatic Style-Consistency ICML 2020
Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate ICML 2020
Adapting to Misspecification in Contextual Bandits NIPS 2020
Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes AAAI 2020