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Reinforcement Learning

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/deepsense-ai/carla-birdeye-view

Simulation-based reinforcement learning for real-world autonomous driving

https://github.com/denisewong1/ASX300

Reinforcement Learning for Market Making in a Multi-agent Dealer Market

https://github.com/denisyarats/pytorch_sac

Soft Actor-Critic Algorithms and Applications

https://github.com/denizmguen/IANNWTF2019-Project

Continuous control with deep reinforcement learning

https://github.com/deniztekalp/comp-491-bitirme

Beating Atari with Natural Language Guided Reinforcement Learning

https://github.com/denkiwakame/python-ervo

L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation

https://github.com/dennysemko/VectorizedBayesByBackprop

Weight Uncertainty in Neural Networks

https://github.com/desire2020/RankGAN

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

https://github.com/developer-smartwebzone/-reinforcement-learning-algorithms.

OpenAI Gym

https://github.com/devendrachaplot/Neural-Localization

Active Neural Localization

https://github.com/dfki-ric-underactuated-lab/torque_limited_simple_pendulum

Continuous control with deep reinforcement learning

https://github.com/dhruvramani/Transformers-RL

Stabilizing Transformers for Reinforcement Learning

https://github.com/dicarlolab/archconvnets

Neural Architecture Optimization

https://github.com/dickreuter/neuron_poker

Asynchronous Methods for Deep Reinforcement Learning

https://github.com/dietmarwo/fast-cma-es

Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space

https://github.com/diff7/DARTS-devices

DARTS: Differentiable Architecture Search

https://github.com/dineshj1/lookaround

Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks

https://github.com/dingxiaowei/MLAgents

Unity: A General Platform for Intelligent Agents

https://github.com/dirtdust/TC-Bot-python3

A User Simulator for Task-Completion Dialogues

https://github.com/div99/xql

Extreme Q-Learning: MaxEnt RL without Entropy

https://github.com/dkalpakchi/ReproducingSCAPytorch

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

https://github.com/dkangin/baselines/tree/master/baselines/trpo_replay

On-Policy Trust Region Policy Optimisation with Replay Buffers

https://github.com/dlasecki/QaoaParamsPredictorApi

Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems

https://github.com/dmeoli/neuro-sat

From Gameplay to Symbolic Reasoning: Learning SAT Solver Heuristics in the Style of Alpha(Go) Zero

https://github.com/dmksjfl/Job_Shop_Scheduling_Problem_with_Reinforcement_Learning

A Reinforcement Learning Environment For Job-Shop Scheduling

https://github.com/dmund95/Off-Policy-Deep-RL

Trajectory-Based Off-Policy Deep Reinforcement Learning

https://github.com/dobro12/CPO

Constrained Policy Optimization

https://github.com/domingoesteban/hiu_sac

Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies

https://github.com/dominusmi/FractalAI.jl

Fractal AI: A fragile theory of intelligence

https://github.com/donamin/llc

Proximal Policy Optimization Algorithms

https://github.com/dongchen06/macacc

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning

https://github.com/dotcli/zombie-architect

Unity: A General Platform for Intelligent Agents

https://github.com/doty-k/world_models

World Models

https://github.com/doubledaibo/gancaption_iccv2017

Towards Diverse and Natural Image Descriptions via a Conditional GAN

https://github.com/downingbots/RLDonkeycar

Proximal Policy Optimization Algorithms

https://github.com/dpaleka/cross-entropy-for-combinatorics

Constructions in combinatorics via neural networks

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