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Deep RL

3,861 papers

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Papers

Auxiliary Tasks for Efficient Learning of Point-Goal Navigation WACV 2021
Auto-Navigator: Decoupled Neural Architecture Search for Visual Navigation WACV 2021
Weakly Supervised Deep Reinforcement Learning for Video Summarization With Semantically Meaningful Reward WACV 2021
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation WACV 2021
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization NIPS 2020
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing NIPS 2020
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model NIPS 2020
Learning Guidance Rewards with Trajectory-space Smoothing NIPS 2020
A Unifying View of Optimism in Episodic Reinforcement Learning NIPS 2020
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning NIPS 2020
Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction NIPS 2020
Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation NIPS 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior NIPS 2020
Model-based Policy Optimization with Unsupervised Model Adaptation NIPS 2020
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances NIPS 2020
Deep Reinforcement and InfoMax Learning NIPS 2020
Adaptive Discretization for Model-Based Reinforcement Learning NIPS 2020
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control NIPS 2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning NIPS 2020
Munchausen Reinforcement Learning NIPS 2020
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards NIPS 2020
Reward-rational (implicit) choice: A unifying formalism for reward learning NIPS 2020
Neural Dynamic Policies for End-to-End Sensorimotor Learning NIPS 2020
Sparse Graphical Memory for Robust Planning NIPS 2020
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning? NIPS 2020