policy learning

Reinforcement Learning with Trajectory Feedback AAAI 2021 RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation ACL 2021 RMP2: A Structured Composable Policy Class for Robot Learning RSS 2021 Robust Asymmetric Learning in POMDPs ICML 2021 Robust Deep Reinforcement Learning through Adversarial Loss NeurIPS 2021 Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation ACML 2021 ROI Maximization in Stochastic Online Decision-Making NeurIPS 2021 Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks L4DC 2021 Self-correcting Q-learning AAAI 2021 Self-Supervised Attention-Aware Reinforcement Learning AAAI 2021 Solving JumpIN’ Using Zero-Dependency Reinforcement Learning (Student Abstract) AAAI 2021 Teachable Reinforcement Learning via Advice Distillation NeurIPS 2021 TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL ICML 2021 Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks AAAI 2021 TempoRL: Learning When to Act ICML 2021 The Difficulty of Passive Learning in Deep Reinforcement Learning NeurIPS 2021 Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning ICML 2021 Translation-based Supervision for Policy Generation in Simultaneous Neural Machine Translation EMNLP 2021 What Matters for Adversarial Imitation Learning? NeurIPS 2021 Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark NeurIPS 2021 A Boolean Task Algebra for Reinforcement Learning NeurIPS 2020 Adaptive Droplet Routing in Digital Microfluidic Biochips Using Deep Reinforcement Learning ICML 2020 An Imitation Learning Approach for Cache Replacement ICML 2020 An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies AAAI 2020 BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning NeurIPS 2020