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Policy Gradient Methods

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Showing 301–325 of 382 papers

TitleStatusHype
Similarities between policy gradient methods (PGM) in Reinforcement learning (RL) and supervised learning (SL)—0
Only Relevant Information Matters: Filtering Out Noisy Samples to Boost RL—0
StartNet: Online Detection of Action Start in Untrimmed Videos—0
Evaluating Rewards for Question Generation ModelsCode0
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable ModelsCode0
Fast Efficient Hyperparameter Tuning for Policy GradientsCode0
Diverse Exploration via Conjugate Policies for Policy Gradient Methods—0
On-Policy Trust Region Policy Optimisation with Replay BuffersCode0
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning—0
AdaFrame: Adaptive Frame Selection for Fast Video Recognition—0
An Off-policy Policy Gradient Theorem Using Emphatic Weightings—0
Reward-estimation variance elimination in sequential decision processes—0
Risk-Sensitive Reinforcement Learning via Policy Gradient Search—0
Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy ImprovementCode0
Policy Gradient in Partially Observable Environments: Approximation and Convergence—0
Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient MethodsCode0
Training for Diversity in Image Paragraph CaptioningCode0
CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization—0
Countering Language Drift via Grounding—0
Assumption Questioning: Latent Copying and Reward Exploitation in Question Generation—0
The wisdom of the crowd: reliable deep reinforcement learning through ensembles of Q-functions—0
Improvements on Hindsight Learning—0
Image Captioning based on Deep Reinforcement Learning—0
Learning to Interrupt: A Hierarchical Deep Reinforcement Learning Framework for Efficient Exploration—0
Remember and Forget for Experience ReplayCode0
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