Future-Informed Actor-Critic
1 version
DE
Damien Ernst
cs.LGcs.SYeess.SYmath.OCstat.MLcs.AIcs.CEcond-mat.supr-concs.NEq-fin.TR
On Valency
published · living versionsPreprints & journals
93 papers in the corpus · 1991–2026Memory-State Critic for Asymmetric Actor-Critic with Application to Vision-Based Pursuit-Evasion
0 citations
Length-Independent State Tracking Under a Parallel Scan
0 citations
The One Health teaching clinic as an interprofessional education learning environment: an Austrian community case study of veterinary PhD students' competency development through co-design with pre-service science teachers.
0 citations
Reinformed Dreamer: An Asymmetric World Model Efficiently Trained through Latent Guidance
0 citations
Fast reconstruction of degenerate populations of conductance-based neuron models from spike times.
1 citation
Improving the Performance and Learning Stability of Parallelizable RNNs Designed for Ultra-Low Power Applications
0 citations
Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations
0 citations
Bayesian Inference for Estimating Generation Costs in Electricity Markets
0 citations
Maximum-Entropy Exploration with Future State-Action Visitation Measures
0 citations
Gym-TORAX: Open-source software for integrating reinforcement learning with plasma control simulators in tokamak research
0 citations
SecuLEx: a Secure Limit Exchange Market for Dynamic Operating Envelopes
0 citations
Remote Renewable Energy Hubs: a Taxonomy
3 citations
Ammonia, Methane, Hydrogen and Methanol Produced in Remote Renewable Energy Hubs: a Comparative Quantitative Analysis
1 citation
How to craft a deep reinforcement learning policy for wind farm flow control
1 citation
A Theoretical Justification for Asymmetric Actor-Critic Algorithms
0 citations
Investigating the Monte-Carlo Tree Search Approach for the Job Shop Scheduling Problem
1 citation
Efficient LP warmstarting for linear modifications of the constraint matrix
0 citations
Off-Policy Maximum Entropy RL with Future State and Action Visitation Measures
0 citations
Launching Austria's One Health network: paving the way for transdisciplinary collaborations.
2 citations
Sensitivity analysis for linear changes of the constraint matrix of a (mixed-integer) linear program
0 citations
An Optimization Algorithm for Customer Topological Paths Identification in Electrical Distribution Networks
1 citation
Fair Reinforcement Learning Algorithm for PV Active Control in LV Distribution Networks
6 citations
A Systematic Procedure for Topological Path Identification with Raw Data Transformation in Electrical Distribution Networks
1 citation
Cost Estimation in Unit Commitment Problems Using Simulation-Based Inference
0 citations
Parallelizing Autoregressive Generation with Variational State Space Models
0 citations
Reinforcement Learning to improve delta robot throws for sorting scrap metal
1 citation
Behind the Myth of Exploration in Policy Gradients
0 citations
Optimal Control of Renewable Energy Communities subject to Network Peak Fees with Model Predictive Control and Reinforcement Learning Algorithms
4 citations
Synthetic methane for closing the carbon loop: Comparative study of three carbon sources for remote carbon-neutral fuel synthetization
18 citations
Warming up recurrent neural networks to maximise reachable multistability greatly improves learning.
4 citations
Informed POMDP: Leveraging Additional Information in Model-Based RL
0 citations
Spike-based computation using classical recurrent neural networks
6 citations
Policy Gradient Algorithms Implicitly Optimize by Continuation
1 citation
Towards CO2 valorization in a multi remote renewable energy hub framework
1 citation
Multi-objective near-optimal necessary conditions for multi-sectoral planning
11 citations
Matching of Everyday Power Supply and Demand with Dynamic Pricing: Problem Formalisation and Conceptual Analysis
14 citations
Risk-Sensitive Policy with Distributional Reinforcement Learning
14 citations
Parallax Inference for Robust Temporal Monocular Depth Estimation in Unstructured Environments.
10 citations
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition
3 citations
Optimal Connection Phase Selection of Residential Distributed Energy Resources and its Impact on Aggregated Demand
1 citation
Churn prediction in online gambling
3 citations
Computing Necessary Conditions for Near-Optimality in Capacity Expansion Planning Problems
5 citations
A bio-inspired bistable recurrent cell allows for long-lasting memory.
25 citations
Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks
6 citations
M4Depth: Monocular depth estimation for autonomous vehicles in unseen environments
2 citations
Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education
10 citations
Model Reduction in Capacity Expansion Planning Problems via Renewable Generation Site Selection
5 citations
Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems
41 citations
Sparse Training Theory for Scalable and Efficient Agents
10 citations
Remote Renewable Hubs For Carbon-Neutral Synthetic Fuel Production
32 citations
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