Resource Allocation in Multicore Elastic Optical Networks : A Deep #ReinforcementLearning Approach - @UCL Discovery
RLPrompt : Optimizing Discrete Text Prompts with #ReinforcementLearning – #MachineLearning Blog | ML@CMU | @CarnegieMellon
Developing #ReinforcementLearning and #ArtificialIntelligence Tools to Support Clinical Care Including Care for Women with Perimenopausal and Menopausal Symptoms - @LivUni
Beating the World 's Best at Super Smash Bros. with Deep #ReinforcementLearning | @MIT CSAIL
PhD Studentship : Collective Intelligence in Multi-Agent #ReinforcementLearning for Deliberative Processes at @unibirmingham
( PDF) Implementing #ReinforcementLearning for Optimizing Resource Allocation in Cloud Computing | Tapomoy Adhikari - Academia .edu
RLQ : Workload Allocation With #ReinforcementLearning in Distributed Queues - @UCL Discovery
#Research Associate - #ReinforcementLearning and Predictive Control at @lborouniversity
Fully Autonomous Real-World #ReinforcementLearning with Applications to Mobile Manipulation – The Berkeley #ArtificialIntelligence #Research Blog
Ambiguous Dynamic Treatment Regimes : A #ReinforcementLearning Approach | Soroush Saghafian
Reactive Exploration to Cope with Non-Stationarity in Lifelong #ReinforcementLearning - IARAI
Safe Chance Constrained #ReinforcementLearning for Batch Process Control - @UCL Discovery
Choice Type Impacts Human #ReinforcementLearning | Journal of Cognitive #neuroscience | @MIT Press
14 Dec 2022 - Using #ReinforcementLearning to Design and Control Free-flying Space Robots | @uniofsurrey
#ReinforcementLearning and Tree Search Methods for the Unit Commitment Problem - @UCL Discovery
Artificial Agents Use #ReinforcementLearning to Explain Actions , a Necessary Step as They Get Smarter
EPSRC/BAE Systems INDUSTRIAL CASE PhD Studentship - " Mitigation of #ReinforcementLearning Algorithms in Changing Environments " at The University of Manchester
[2209.14935] Does Zero-Shot #ReinforcementLearning Exist ? https://arxiv.org/abs/2209.14935
[2210.03022] Stateful active facilitator : Coordination and Environmental Heterogeneity in Cooperative Multi-Agent #ReinforcementLearning https://arxiv.org/abs/2210.03022
[2210.01241] Is #ReinforcementLearning ( Not ) for #NLP ? : Benchmarks , Baselines , and Building Blocks for Natural Language Policy Optimization https://arxiv.org/abs/2210.01241
[2203.04120] Graph-based #ReinforcementLearning meets Mixed Integer Programs : An application to 3D robot assembly discovery https://arxiv.org/abs/2203.04120
[2109.10781] Introducing Symmetries to Black Box Meta #ReinforcementLearning https://arxiv.org/abs/2109.10781
[1611.02779] RL$ ^2$ : Fast #ReinforcementLearning via Slow #ReinforcementLearning https://arxiv.org/abs/1611.02779
[2210.14215 ] In-context #ReinforcementLearning with Algorithm Distillation https://arxiv.org/abs/2210.14215
[2210.08323] A Policy-Guided Imitation Approach for Offline #ReinforcementLearning https://arxiv.org/abs/2210.08323
[2210.12301] Continual #ReinforcementLearning with Group Symmetries https://arxiv.org/abs/2210.12301
#ReinforcementLearning https://mitpress.mit.edu/9780262352703/reinforcement-learning/
[2109.05679] #ReinforcementLearning for Load-balanced Parallel Particle Tracing https://arxiv.org/abs/2109.05679
Multi-agent #ReinforcementLearning : #Statistical and Optimization Perspectives | Department of #ComputerScience https://www.cs.cornell.edu/content/multi-agent-reinforcement-learning-statistical-and-optimization-perspectives
[2208.12622] Play with Emotion : Affect-Driven #ReinforcementLearning https://arxiv.org/abs/2208.12622
[2210.08863] You Only Live Once : Single-Life #ReinforcementLearning https://arxiv.org/abs/2210.08863
[2210.05492 ] Mastering the Game of No-Press Diplomacy via Human-Regularized #ReinforcementLearning and Planning https://arxiv.org/abs/2210.05492
[2205.07000] PrefixRL : Optimization of Parallel Prefix Circuits using Deep #ReinforcementLearning https://arxiv.org/abs/2205.07000
[2210.07184] Towards Multi-Agent #ReinforcementLearning driven Over-The-Counter Market Simulations https://arxiv.org/abs/2210.07184
[2210.07792 ] Robust Preference Learning for Storytelling via Contrastive #ReinforcementLearning https://arxiv.org/abs/2210.07792
[1312.5602 ] Playing Atari with Deep #ReinforcementLearning https://arxiv.org/abs/1312.5602
[2210.06479] Real World Offline #ReinforcementLearning with Realistic Data Source https://arxiv.org/abs/2210.06479
[2210.06692 ] Model-Based Offline #ReinforcementLearning with Pessimism-Modulated Dynamics Belief https://arxiv.org/abs/2210.06692
[2210.07105 ] CORL : Research-oriented Deep Offline #ReinforcementLearning Library https://arxiv.org/abs/2210.07105
[2210.06274] Centralized Training with Hybrid Execution in Multi-Agent #ReinforcementLearning https://arxiv.org/abs/2210.06274
[2210.04435] Creating a Dynamic Quadrupedal Robotic Goalkeeper with #ReinforcementLearning https://arxiv.org/abs/2210.04435
[2208.12191 ] Turning Mathematics Problems into Games : #ReinforcementLearning and Gröbner bases together solve Integer Feasibility Problems https://arxiv.org/abs/2208.12191
[2210.03469] Algorithmic Trading Using Continuous Action Space Deep #ReinforcementLearning https://arxiv.org/abs/2210.03469?utm_source=dlvr.it&utm_medium=twitter
[2210.01542] Hyperbolic Deep #ReinforcementLearning https://arxiv.org/abs/2210.01542
[1806.06931] #ReinforcementLearning with Function-Valued Action Spaces for Partial Differential Equation Control https://arxiv.org/abs/1806.06931
[2210.03104 ] Distributionally Adaptive Meta #ReinforcementLearning https://arxiv.org/abs/2210.03104