conftrace_

model-free reinforcement learning

63 papers

Explore in graph

Also known as

MFRL

Co-occurring keywords

model-based reinforcement learning (415) reinforcement learning (4352) regret bound (1926) sample complexity (1169) sample efficiency (472) markov decision process (790) deep reinforcement learning (903) model-free learning (51) constrained markov decision process (56) optimal control (218)

Papers

A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes AAAI 2022
Enhancing Safe Exploration Using Safety State Augmentation NIPS 2022
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach ICML 2022
Making Linear MDPs Practical via Contrastive Representation Learning ICML 2022
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL NIPS 2022
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models RSS 2022
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs ICML 2022
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images AAAI 2021
Randomized Exploration in Reinforcement Learning with General Value Function Approximation ICML 2021
Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs ICML 2021
Counterfactual Credit Assignment in Model-Free Reinforcement Learning ICML 2021
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity ICML 2021
Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey IJCAI 2021
Width-Based Algorithms for Common Problems in Control, Planning and Reinforcement Learning IJCAI 2021
Multi-step Greedy Reinforcement Learning Algorithms ICML 2020
Constrained Reinforcement Learning via Policy Splitting ACML 2020
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes ICML 2020
Almost Optimal Model-Free Reinforcement Learningvia Reference-Advantage Decomposition NIPS 2020
Learning the model-free linear quadratic regulator via random search L4DC 2020
Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions AAAI 2019
An Investigation of Model-Free Planning ICML 2019
Model-Free Linear Quadratic Control via Reduction to Expert Prediction AISTATS 2019
Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning UAI 2019
Learning Representations in Model-Free Hierarchical Reinforcement Learning AAAI 2019
Reward Estimation for Variance Reduction in Deep Reinforcement Learning CORL 2018