Applications

Near-Optimal Reinforcement Learning with Self-Play NeurIPS 2020 Neural Dynamic Policies for End-to-End Sensorimotor Learning NeurIPS 2020 Neurosymbolic Reinforcement Learning with Formally Verified Exploration NeurIPS 2020 Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning CoRL 2020 Nonlinear Model Predictive Control of Robotic Systems with Control Lyapunov Functions RSS 2020 No-regret Exploration in Contextual Reinforcement Learning UAI 2020 No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium NeurIPS 2020 Object Goal Navigation using Goal-Oriented Semantic Exploration NeurIPS 2020 Off-Policy Actor-Critic with Shared Experience Replay ICML 2020 Off-Policy Evaluation in Partially Observable Environments AAAI 2020 On Bonus Based Exploration Methods In The Arcade Learning Environment ICLR 2020 One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control ICML 2020 Online Decision Based Visual Tracking via Reinforcement Learning NeurIPS 2020 Online Planning with Lookahead Policies NeurIPS 2020 On the Expressivity of Neural Networks for Deep Reinforcement Learning ICML 2020 Optimistic robust linear quadratic dual control L4DC 2020 OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning ICML 2020 PackIt: A Virtual Environment for Geometric Planning ICML 2020 Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning AAAI 2020 Path Planning Problems with Side Observations—When Colonels Play Hide-and-Seek AAAI 2020 PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation CVPR 2020 Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games NeurIPS 2020 PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards CoRL 2020 PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals NeurIPS 2020 Planning in Markov Decision Processes with Gap-Dependent Sample Complexity NeurIPS 2020