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2022
10
Feb
(Gong 2019 ICCV) Memorizing Normality to Detect Anomaly; Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection
03
Feb
(Koch 2015 ICML) Siamese Neural Networks for One-shot Image Recognition
2021
20
Sep
(Lasse 2018 ICML) Impala; Scalable distributed deep-rl with importance weighted actor-learner architectures
10
Sep
(Zong 2018 ICLR) Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection
17
Aug
(Hinton 2017 Nips) Dynamic Routing Between Capsules
01
Aug
(Duan 2017 ICLR) RL2; Fast Reinforcement Learning Via Slow Reinforcement Learning
25
Jul
(Ofir 2018 Nips) Data-Efficient Hierarchical Reinforcement Learning
08
Jul
(Vezhnevets 2017 ICML) Feudal networks for hierarchical reinforcement learning
01
Jul
(Fujimoto 2018 ICML) Addressing Function Approximation Error in Actor-Critic Methods
27
Jun
(Haarnoja 2019 arxiv) Soft Actor-Critic Algorithms and Applications
26
Jun
(Haarnoja 2018 ICML) Soft Actor-Critic; Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
20
Jun
(Lillicrap 2015 ICLR) Continuous Control With Deep Reinforcement Learning
18
Jun
(Wu 2017 arxiv) Scalable trust-region method for deep reinforcementlearning using Kronecker-factored approximation
14
Jun
(ICLR 2017 Wang) Sample Efficient Actor-Critic with Experience Replay
06
Jun
(Nips 2016 Vezhnevets) Strategic Attentive Writer for Learning Macro-Actions
04
Jun
(Gregor 2015 ICML) DRAW; A Recurrent Neural Network For Image Generation
23
May
16. (Schulman 2017 arxiv) Proximal Policy Optimization Algorithms
16
May
15. (Schulman 2017 ICML) Trust Region Policy Optimization
08
May
14. (Mnih 2016 ICML) Asynchronous Methods for Deep Reinforcement Learning
07
May
13. Advanced Actor-Critic(A2C)
07
May
13. Actor-Critic
02
May
(Lee 2019 arxiv) Tsallis reinforcement learning; A unified framework for maximum entropy reinforcement learning
01
May
12. (Sutton Nips 1999) Policy Gradient Methods for Reinforcement Learning with Function Approximation
27
Apr
11. Policy Gradient
27
Apr
10. Policy based
25
Apr
9. Prioritized Experience Replay
22
Apr
5. (Iqbal 2019 ICML) Actor-Attention-Critic for Multi-Agent Reinforcement Learning
19
Apr
8. Dueling DQN
18
Apr
7. DDQN
18
Apr
6. DQN
18
Apr
4. (Du 2019 NIPS) LIIR; Learning Individual Intrinsic Reward in Multi-Agent Reinforcement learning
11
Apr
3. (Rashid 2018 ICML) Qmix; Monotonic value function factorisation for deep multi-agent reinforcement learning
10
Apr
5. On/off-policy
10
Apr
4. Monte Carlo and Temporal Difference
10
Apr
3. Optimal Policy
04
Apr
2. (Foerster 2017 AAAI) Counterfactual Multi-Agent Policy Gradients
03
Apr
2. Bellman Equation
28
Mar
1. (Tan 1993 ICML) Multi-Agent Reinforcement Learning; Independent vs Cooperative Agents
27
Mar
1. Markov Decision Process
27
Mar
Goal
Recent Update
(Zong 2018 ICLR) Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection
(Ofir 2018 Nips) Data-Efficient Hierarchical Reinforcement Learning
(Vezhnevets 2017 ICML) Feudal networks for hierarchical reinforcement learning
(Haarnoja 2019 arxiv) Soft Actor-Critic Algorithms and Applications
(Haarnoja 2018 ICML) Soft Actor-Critic; Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
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Trending Tags
RL
Single Agent
Deep learning
Multi Agent
Hierarchial RL
Anomaly Detection
Distributed RL
memo
Meta RL
