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Deep RL

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Papers

Model-Free Robust Average-Reward Reinforcement Learning ICML 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning ICML 2023
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models ICML 2023
Learning Belief Representations for Partially Observable Deep RL ICML 2023
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR ICML 2023
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms ICML 2023
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings ICML 2023
Jump-Start Reinforcement Learning ICML 2023
Fast Rates for Maximum Entropy Exploration ICML 2023
VA-learning as a more efficient alternative to Q-learning ICML 2023
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm ICML 2023
Adversarial Learning of Distributional Reinforcement Learning ICML 2023
The Dormant Neuron Phenomenon in Deep Reinforcement Learning ICML 2023
Hindsight Learning for MDPs with Exogenous Inputs ICML 2023
A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints ICML 2023
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation ICML 2023
Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation AISTATS 2023
Optimism and Delays in Episodic Reinforcement Learning AISTATS 2023
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach AISTATS 2023
On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation AISTATS 2023
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm AAAI 2023
Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking ACML 2023
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity JMLR 2023
skrl: Modular and Flexible Library for Reinforcement Learning JMLR 2023
Toward Efficient Gradient-Based Value Estimation ICML 2023