Co-occurring keywords · papers mentioning both
Papers
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction
AAAI 2021
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment
ICML 2021
On the Effect of Auxiliary Tasks on Representation Dynamics
AISTATS 2021
Parameter-Based Value Functions
ICLR 2021
Stabilizing Q Learning Via Soft Mellowmax Operator
AAAI 2021
TDN: Temporal Difference Networks for Efficient Action Recognition
CVPR 2021
Variance Penalized On-Policy and Off-Policy Actor-Critic
AAAI 2021
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms
AISTATS 2020
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
AAAI 2020
Momentum in Reinforcement Learning
AISTATS 2020
Munchausen Reinforcement Learning
NeurIPS 2020
Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning
AAAI 2020
Reward Prediction Error as an Exploration Objective in Deep RL
IJCAI 2020
Conditions on Features for Temporal Difference-Like Methods to Converge
IJCAI 2019
Using Natural Language for Reward Shaping in Reinforcement Learning
IJCAI 2019
Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting
NeurIPS 2017
Policy Evaluation Using the Ω-Return
NeurIPS 2015
Universal Option Models
NeurIPS 2014
Exploring Weak Stabilization for Motion Feature Extraction
CVPR 2013
The Fixed Points of Off-Policy TD
NeurIPS 2011
A Convergent Online Single Time Scale Actor Critic Algorithm
JMLR 2010
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference
NeurIPS 2009
Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation
NeurIPS 2008