conftrace_

value function

295 papers

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Also known as

V FUNCTION

Co-occurring keywords

reinforcement learning (4352) deep reinforcement learning (903) policy optimization (657) markov decision process (790) offline reinforcement learning (492) temporal difference learning (149) sample efficiency (472) function approximation (319) off-policy learning (228) model-based reinforcement learning (415)

Papers

Fast Adaptation to New Environments via Policy-Dynamics Value Functions ICML 2020
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling AAAI 2020
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning AAAI 2020
Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization AAAI 2020
Deterministic Value-Policy Gradients AAAI 2020
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing NIPS 2020
Discovering Reinforcement Learning Algorithms NIPS 2020
Minimax Value Interval for Off-Policy Evaluation and Policy Optimization NIPS 2020
Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients AAAI 2020
A Boolean Task Algebra for Reinforcement Learning NIPS 2020
Value-driven Hindsight Modelling NIPS 2020
POMDPs in Continuous Time and Discrete Spaces NIPS 2020
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning NIPS 2020
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction NIPS 2020
Efficient Planning in Large MDPs with Weak Linear Function Approximation NIPS 2020
Gradient Regularized V-Learning for Dynamic Treatment Regimes NIPS 2020
Improved Vector Pruning in Exact Algorithms for Solving POMDPs UAI 2020
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction NIPS 2020
MAVEN: Multi-Agent Variational Exploration NIPS 2019
Planning with Expectation Models IJCAI 2019
Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests UAI 2019
Hindsight Credit Assignment NIPS 2019
A Kernel Loss for Solving the Bellman Equation NIPS 2019
Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces NIPS 2019
Distributional Reward Decomposition for Reinforcement Learning NIPS 2019