Value prediction
16 papers with code • 1 benchmarks • 0 datasets
Latest papers
PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction
elisim/piven
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Improving the robustness of neural nets in regression tasks is key to their application in multiple domains.
Spatial Action Maps for Mobile Manipulation
jimmyyhwu/spatial-action-maps
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Typical end-to-end formulations for learning robotic navigation involve predicting a small set of steering command actions (e. g., step forward, turn left, turn right, etc.)
Code Prediction by Feeding Trees to Transformers
facebookresearch/code-prediction-transformer
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We provide comprehensive experimental evaluation of our proposal, along with alternative design choices, on a standard Python dataset, as well as on a Python corpus internal to Facebook.
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search
In this paper, we propose an actor ensemble algorithm, named ACE, for continuous control with a deterministic policy in reinforcement learning.
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
To address these challenges, we propose TreeQN, a differentiable, recursive, tree-structured model that serves as a drop-in replacement for any value function network in deep RL with discrete actions.
Value Prediction Network
junhyukoh/value-prediction-network
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NeurIPS 2017
This paper proposes a novel deep reinforcement learning (RL) architecture, called Value Prediction Network (VPN), which integrates model-free and model-based RL methods into a single neural network.
