deep reinforcement learning

Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning ICML 2021 Predicting Human Scanpaths in Visual Question Answering CVPR 2021 Principled Exploration via Optimistic Bootstrapping and Backward Induction ICML 2021 Prioritized Level Replay ICML 2021 Provably Efficient Causal Reinforcement Learning with Confounded Observational Data NeurIPS 2021 Quantitative Day Trading from Natural Language using Reinforcement Learning NAACL 2021 Rapid Task-Solving in Novel Environments ICLR 2021 Redundancy Resolution as Action Bias in Policy Search for Robotic Manipulation CoRL 2021 Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control ICLR 2021 Reinforcement Learning of Sequential Price Mechanisms AAAI 2021 Reinforcement Learning with Latent Flow NeurIPS 2021 Replay-Guided Adversarial Environment Design NeurIPS 2021 Return-Based Contrastive Representation Learning for Reinforcement Learning ICLR 2021 Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research ICML 2021 Reward based Hebbian Learning in Direct Feedback Alignment (Student Abstract) AAAI 2021 Robust Deep Reinforcement Learning through Adversarial Loss NeurIPS 2021 Robustly Learning Composable Options in Deep Reinforcement Learning IJCAI 2021 Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study RSS 2021 Robust Reinforcement Learning: A Constrained Game-theoretic Approach L4DC 2021 SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning ICML 2021 Sample-Efficient Automated Deep Reinforcement Learning ICLR 2021 Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing ICML 2021 Scaling Up Multi-Task Robotic Reinforcement Learning CoRL 2021 SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II ICML 2021 Scheduling of Time-Varying Workloads Using Reinforcement Learning AAAI 2021