credit assignment

Coordinated Proximal Policy Optimization NeurIPS 2021 Cortico-cerebellar networks as decoupling neural interfaces NeurIPS 2021 Counterfactual Credit Assignment in Model-Free Reinforcement Learning ICML 2021 Credit Assignment in Neural Networks through Deep Feedback Control NeurIPS 2021 Credit Assignment Through Broadcasting a Global Error Vector NeurIPS 2021 Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures AAAI 2021 DOP: Off-Policy Multi-Agent Decomposed Policy Gradients ICLR 2021 Expected Eligibility Traces AAAI 2021 Gated Linear Networks AAAI 2021 If You Like Shapley Then You’ll Love the Core AAAI 2021 Learning Task-Distribution Reward Shaping with Meta-Learning AAAI 2021 Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment ICML 2021 Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization NeurIPS 2021 Biological credit assignment through dynamic inversion of feedforward networks NeurIPS 2020 Can the Brain Do Backpropagation? --- Exact Implementation of Backpropagation in Predictive Coding Networks NeurIPS 2020 CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning ICLR 2020 Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions ICML 2020 Dueling Posterior Sampling for Preference-Based Reinforcement Learning UAI 2020 Forethought and Hindsight in Credit Assignment NeurIPS 2020 Hierarchical Reinforcement Learning for Open-Domain Dialog AAAI 2020 Learning Guidance Rewards with Trajectory-space Smoothing NeurIPS 2020 Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning NeurIPS 2020 Learning to solve the credit assignment problem ICLR 2020 Q-value Path Decomposition for Deep Multiagent Reinforcement Learning ICML 2020 Self-Attentional Credit Assignment for Transfer in Reinforcement Learning IJCAI 2020