Reinforcement Learning

Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning NeurIPS 2023 Physically Plausible Animation of Human Upper Body From a Single Image WACV 2023 Physics-Informed Model-Based Reinforcement Learning L4DC 2023 PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction AAAI 2023 PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks NeurIPS 2023 Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning ICLR 2023 PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav CVPR 2023 Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion NeurIPS 2023 Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers AAAI 2023 Planning and Learning with Adaptive Lookahead AAAI 2023 Planning Goals for Exploration ICLR 2023 Planning Multiple Epidemic Interventions with Reinforcement Learning IJCAI 2023 Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem AAAI 2023 Poisoning the Well: Can We Simultaneously Attack a Group of Learning Agents? IJCAI 2023 Policy Adaptation From Foundation Model Feedback CVPR 2023 Policy-Adaptive Estimator Selection for Off-Policy Evaluation AAAI 2023 Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes AAAI 2023 Policy-based Reinforcement Learning for Generalisation in Interactive Text-based Environments EACL 2023 Policy-Based Self-Competition for Planning Problems ICLR 2023 PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning ICCV 2023 Policy Contrastive Imitation Learning ICML 2023 Policy Evaluation in Distributional LQR L4DC 2023 Policy Expansion for Bridging Offline-to-Online Reinforcement Learning ICLR 2023 Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data NeurIPS 2023 Policy Gradient for Rectangular Robust Markov Decision Processes NeurIPS 2023