Value prediction
16 papers with code • 1 benchmarks • 0 datasets
Latest papers
PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction
Improving the robustness of neural nets in regression tasks is key to their application in multiple domains.
Spatial Action Maps for Mobile Manipulation
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
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
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.