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Deep RL

3,861 papers

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Papers

On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs ICML 2022
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP ICML 2022
Continuous Control with Action Quantization from Demonstrations ICML 2022
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation ICML 2022
Analysis of Stochastic Processes through Replay Buffers ICML 2022
Branching Reinforcement Learning ICML 2022
Provable Reinforcement Learning with a Short-Term Memory ICML 2022
DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck ICML 2022
Generalized Data Distribution Iteration ICML 2022
Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning ICML 2022
Model-Value Inconsistency as a Signal for Epistemic Uncertainty ICML 2022
Fast Population-Based Reinforcement Learning on a Single Machine ICML 2022
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error ICML 2022
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation ICML 2022
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning ICML 2022
Retrieval-Augmented Reinforcement Learning ICML 2022
The State of Sparse Training in Deep Reinforcement Learning ICML 2022
Mirror Learning: A Unifying Framework of Policy Optimisation ICML 2022
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity ICML 2022
Off-Policy Reinforcement Learning with Delayed Rewards ICML 2022
Temporal Difference Learning for Model Predictive Control ICML 2022
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation ICML 2022
Action-Sufficient State Representation Learning for Control with Structural Constraints ICML 2022
A data-driven approach for learning to control computers ICML 2022
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation ICML 2022