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

Self-Consistent Models and Values NIPS 2021
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation AAAI 2021
Deep Radial-Basis Value Functions for Continuous Control AAAI 2021
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning AAAI 2021
SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions L4DC 2021
Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning AAAI 2021
TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments AAAI 2021
Lipschitz Lifelong Reinforcement Learning AAAI 2021
Taylor Expansion of Discount Factors ICML 2021
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning ICML 2021
Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective ICML 2021
Twice regularized MDPs and the equivalence between robustness and regularization NIPS 2021
Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL NIPS 2021
Counterfactual Credit Assignment in Model-Free Reinforcement Learning ICML 2021
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning NIPS 2021
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning AAAI 2021
Boosting Offline Reinforcement Learning with Residual Generative Modeling IJCAI 2021
Preferential Temporal Difference Learning ICML 2021
Phasic Policy Gradient ICML 2021
Fourier Bases for Solving Permutation Puzzles AISTATS 2021
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization ICML 2021
Generalizable Episodic Memory for Deep Reinforcement Learning ICML 2021
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning ICML 2021
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality ICML 2021
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification NIPS 2021