| Affordance as general value function: a computational model | 0 | 0.34 | 2022 |
| Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning | 0 | 0.34 | 2022 |
| What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. | 0 | 0.34 | 2022 |
| Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems | 0 | 0.34 | 2021 |
| Learning robust driving policies without online exploration | 0 | 0.34 | 2021 |
| SMARTS - An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. | 0 | 0.34 | 2020 |
| Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans | 1 | 0.37 | 2020 |
| Fixed-Horizon Temporal Difference Methods For Stable Reinforcement Learning | 0 | 0.34 | 2020 |
| Importance Resampling for Off-policy Prediction. | 0 | 0.34 | 2019 |
| AMReX: a framework for block-structured adaptive mesh refinement. | 4 | 0.42 | 2019 |
| Perception As Prediction Using General Value Functions In Autonomous Driving Applications | 0 | 0.34 | 2019 |
| Sequence Learning for Images Recognition in Videos with Differential Neural Networks | 2 | 0.35 | 2019 |
| A Survey and Formal Analyses on Sequence Learning Methodologies and Deep Neural Networks | 2 | 0.35 | 2018 |
| Simulating Urban Environments for Energy Analysis. | 0 | 0.34 | 2014 |
