Methods

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 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 Market Making via Adversarial Reinforcement Learning IJCAI 2020 Robust Multi-Agent Reinforcement Learning with Model Uncertainty NeurIPS 2020 Robust Reinforcement Learning via Adversarial training with Langevin Dynamics NeurIPS 2020 Robust Reinforcement Learning with Bayesian Optimisation and Quadrature JMLR 2020 ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning CoRL 2020 ROMA: Multi-Agent Reinforcement Learning with Emergent Roles ICML 2020 Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank COLT 2020 RTFM: Generalising to New Environment Dynamics via Reading ICLR 2020 Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences ICML 2020 Safe non-smooth black-box optimization with application to policy search L4DC 2020 Safe Policy Learning for Continuous Control CoRL 2020 Safe Reinforcement Learning in Constrained Markov Decision Processes ICML 2020 Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction NeurIPS 2020 Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems AISTATS 2020 Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles AISTATS 2020