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Deep RL

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Papers

Divergence-Regularized Multi-Agent Actor-Critic ICML 2022
Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning ICML 2022
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods ICML 2022
Denoised MDPs: Learning World Models Better Than the World Itself ICML 2022
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search ICML 2022
Policy Gradient Method For Robust Reinforcement Learning ICML 2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum ICML 2022
Prompting Decision Transformer for Few-Shot Policy Generalization ICML 2022
Reachability Constrained Reinforcement Learning ICML 2022
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning ICML 2022
Actor-Critic based Improper Reinforcement Learning ICML 2022
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning ICML 2022
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach ICML 2022
Dynamic Regret of Online Markov Decision Processes ICML 2022
Efficient Learning for AlphaZero via Path Consistency ICML 2022
Online Decision Transformer ICML 2022
Sequential Voting With Relational Box Fields for Active Object Detection CVPR 2022
Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest Path ICML 2022
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP ICML 2022
Cooperative Online Learning in Stochastic and Adversarial MDPs ICML 2022
Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning L4DC 2022
Experience Replay with Likelihood-free Importance Weights L4DC 2022
Safe Reinforcement Learning with Chance-constrained Model Predictive Control L4DC 2022
Reinforcement Learning with Almost Sure Constraints L4DC 2022
Block Contextual MDPs for Continual Learning L4DC 2022