Reinforcement Learning

Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems EMNLP 2020 Revisiting Fundamentals of Experience Replay ICML 2020 Reward-Free Exploration for Reinforcement Learning ICML 2020 Reward Prediction Error as an Exploration Objective in Deep RL IJCAI 2020 Reward Propagation Using Graph Convolutional Networks NeurIPS 2020 Reward-rational (implicit) choice: A unifying formalism for reward learning NeurIPS 2020 Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement NeurIPS 2020 RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments ICLR 2020 Risk-Averse Trust Region Optimization for Reward-Volatility Reduction IJCAI 2020 Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret NeurIPS 2020 RLCard: A Platform for Reinforcement Learning in Card Games IJCAI 2020 RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real CVPR 2020 RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning AAAI 2020 R-learning in actor-critic model offers a biologically relevant mechanism for sequential decision-making NeurIPS 2020 RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning NeurIPS 2020 RMM: A Recursive Mental Model for Dialogue Navigation EMNLP 2020 Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations NeurIPS 2020 Robust Learning-Based Control via Bootstrapped Multiplicative Noise L4DC 2020 Robust Market Making via Adversarial Reinforcement Learning IJCAI 2020 Robust Multi-Agent Reinforcement Learning with Model Uncertainty NeurIPS 2020 Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation CoRL 2020 Robust Regression for Safe Exploration in Control L4DC 2020 Robust Reinforcement Learning for Continuous Control with Model Misspecification ICLR 2020 Robust Reinforcement Learning via Adversarial training with Langevin Dynamics NeurIPS 2020 Robust Reinforcement Learning with Bayesian Optimisation and Quadrature JMLR 2020