Reinforcement Learning
4172 papers with code • 162 benchmarks • 2 datasets
Libraries
Use these libraries to find Reinforcement Learning models and implementations
iris
TruthGen
Most implemented papers
Proximal Policy Optimization Algorithms
labmlai/annotated_deep_learning_paper_implementations
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We propose a new family of policy gradient methods for reinforcement learning, which alternate between sampling data through interaction with the environment, and optimizing a "surrogate" objective function using stochastic gradient ascent.
Continuous control with deep reinforcement learning
We adapt the ideas underlying the success of Deep Q-Learning to the continuous action domain.
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
For captioning and VQA, we show that even non-attention based models can localize inputs.
Playing Atari with Deep Reinforcement Learning
labmlai/annotated_deep_learning_paper_implementations
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We present the first deep learning model to successfully learn control policies directly from high-dimensional sensory input using reinforcement learning.
Deep Reinforcement Learning with Double Q-learning
labmlai/annotated_deep_learning_paper_implementations
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The popular Q-learning algorithm is known to overestimate action values under certain conditions.
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
We explore deep reinforcement learning methods for multi-agent domains.
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
A platform for Applied Reinforcement Learning (Applied RL)
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
cbfinn/maml
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ICML 2017
We propose an algorithm for meta-learning that is model-agnostic, in the sense that it is compatible with any model trained with gradient descent and applicable to a variety of different learning problems, including classification, regression, and reinforcement learning.
Prioritized Experience Replay
labmlai/annotated_deep_learning_paper_implementations
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Experience replay lets online reinforcement learning agents remember and reuse experiences from the past.
Dueling Network Architectures for Deep Reinforcement Learning
labmlai/annotated_deep_learning_paper_implementations
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In recent years there have been many successes of using deep representations in reinforcement learning.
