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

Proper Value Equivalence NIPS 2021
Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression JMLR 2021
Differentiating the Value Function by using Convex Duality AISTATS 2021
Estimating Q(s,s’) with Deep Deterministic Dynamics Gradients ICML 2020
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations IJCAI 2020
SVRG for Policy Evaluation with Fewer Gradient Evaluations IJCAI 2020
Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL IJCAI 2020
Reward Prediction Error as an Exploration Objective in Deep RL IJCAI 2020
Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot L4DC 2020
Learning to Plan via Deep Optimistic Value Exploration L4DC 2020
Model-Based Reinforcement Learning with Value-Targeted Regression ICML 2020
Growing Action Spaces ICML 2020
Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models ICML 2020
Reducing Sampling Error in Batch Temporal Difference Learning ICML 2020
Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing ICML 2020
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents AAAI 2020
Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes AAAI 2020
Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract) AAAI 2020
Adaptive Trade-Offs in Off-Policy Learning AISTATS 2020
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions AISTATS 2020
Value Preserving State-Action Abstractions AISTATS 2020
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms AISTATS 2020
Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning AAAI 2020
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise UAI 2020
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes JMLR 2020