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Deep RL

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Papers

Neural Dynamic Policies for End-to-End Sensorimotor Learning NIPS 2020
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning? NIPS 2020
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension NIPS 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes NIPS 2020
Curriculum-guided Hindsight Experience Replay NIPS 2019
Trust Region-Guided Proximal Policy Optimization NIPS 2019
Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling NIPS 2019
Learning Transferable Graph Exploration NIPS 2019
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs NIPS 2019
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NIPS 2019
Planning with Goal-Conditioned Policies NIPS 2019
Divergence-Augmented Policy Optimization NIPS 2019
Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs NIPS 2019
A neurally plausible model learns successor representations in partially observable environments NIPS 2019
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck NIPS 2019
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update NIPS 2019
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents NIPS 2019
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning NIPS 2019
Fully Parameterized Quantile Function for Distributional Reinforcement Learning NIPS 2019
MAVEN: Multi-Agent Variational Exploration NIPS 2019
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters NIPS 2019
Experience Replay for Continual Learning NIPS 2019
Speech Driven Backchannel Generation Using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction INTERSPEECH 2019
Trajectory-Based Off-Policy Deep Reinforcement Learning ICML 2019
Predictor-Corrector Policy Optimization ICML 2019