deep reinforcement learning

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction AAAI 2021 Formal verification of neural networks for safety-critical tasks in deep reinforcement learning UAI 2021 Functional Regularization for Reinforcement Learning via Learned Fourier Features NeurIPS 2021 Generalizable Episodic Memory for Deep Reinforcement Learning ICML 2021 Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning ICLR 2021 Going Beyond Linear RL: Sample Efficient Neural Function Approximation NeurIPS 2021 Guided Exploration with Proximal Policy Optimization using a Single Demonstration ICML 2021 Habitat 2.0: Training Home Assistants to Rearrange their Habitat NeurIPS 2021 Hierarchically and Cooperatively Learning Traffic Signal Control AAAI 2021 Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots CoRL 2021 Hierarchical Neural Dynamic Policies RSS 2021 Hierarchical Object-to-Zone Graph for Object Navigation ICCV 2021 Hierarchical Reinforcement Learning for Integrated Recommendation AAAI 2021 Hierarchical Reinforcement Learning with Timed Subgoals NeurIPS 2021 HJB-RL: Initializing Reinforcement Learning with Optimal Control Policies Applied to Autonomous Drone Racing RSS 2021 Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning ICLR 2021 Information is Power: Intrinsic Control via Information Capture NeurIPS 2021 Interactive Reinforcement Learning for Table Balancing Robot ACL 2021 Investigating vulnerabilities of deep neural policies UAI 2021 Iterative Amortized Policy Optimization NeurIPS 2021 Iterative Empirical Game Solving via Single Policy Best Response ICLR 2021 Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning CVPR 2021 Large Batch Simulation for Deep Reinforcement Learning ICLR 2021 Learning 3-opt heuristics for traveling salesman problem via deep reinforcement learning ACML 2021 Learning Collaborative Policies to Solve NP-hard Routing Problems NeurIPS 2021