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Deep Reinforcement Learning

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코드

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

https://github.com/fstrnad/pyDRLinWESM

공식 코드

Deep reinforcement learning in World-Earth system models to discover sustainable management strategies

https://github.com/g-ailab/dafsfluid

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An Embedded Feature Selection Framework for Control

https://github.com/gabrfarina/exp-a-spiel

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Reevaluating Policy Gradient Methods for Imperfect-Information Games

https://github.com/gabrieledcjr/DeepRL

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Pre-training with Non-expert Human Demonstration for Deep Reinforcement Learning

https://github.com/gabrielesartor/discover_plan_act

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Synthesizing Evolving Symbolic Representations for Autonomous Systems

https://github.com/gaetanserre/l2rpn-2022_ppo-baseline

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Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design

https://github.com/gaoly/mopn

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Multi-objective Pointer Network for Combinatorial Optimization

https://github.com/gaoyuankidult/PepperSocial

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Learning Socially Appropriate Robot Approaching Behavior Toward Groups using Deep Reinforcement Learning

https://github.com/garyz712/drlpiddronecontrol

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AirPilot: Interpretable PPO-based DRL Auto-Tuned Nonlinear PID Drone Controller for Robust Autonomous Flights

https://github.com/gauthamvasan/avg

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Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers

https://github.com/gd-goblin/NTU_DB_Data_Loader

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C-3PO: Cyclic-Three-Phase Optimization for Human-Robot Motion Retargeting based on Reinforcement Learning

https://github.com/geoffreyvd/deer-clean

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Component Transfer Learning for Deep RL Based on Abstract Representations

https://github.com/gfnorg/diffusion-finetuning

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Amortizing intractable inference in diffusion models for vision, language, and control

https://github.com/ghimiremukesh/autonomous-driving

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Lane Change Decision-Making through Deep Reinforcement Learning

https://github.com/ghliu/deepgsb

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Deep Generalized Schrödinger Bridge

https://github.com/giarcieri/robust-optimal-maintenance-planning-through-reinforcement-learning-and-rllib

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POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance

https://github.com/giorgioangel/myersoncoop

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Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values

https://github.com/giorgiograni/jssp_actor-critic_agasucci_monaci_grani

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An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents

https://github.com/giuse/DNE

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Playing Atari with Six Neurons

https://github.com/gkahn13/GtS

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Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight

https://github.com/gkahn13/gcg

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Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation

https://github.com/glample/Arnold

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Playing FPS Games with Deep Reinforcement Learning

https://github.com/gncs/molgym

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Reinforcement Learning for Molecular Design Guided by Quantum Mechanics

https://github.com/gnns4hri/socnavgym

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SocNavGym: A Reinforcement Learning Gym for Social Navigation

https://github.com/golsun/deep-RL-time-series

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Deep reinforcement learning for time series: playing idealized trading games

https://github.com/gomiss/action-balance-exploration

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Exploring Unknown States with Action Balance

https://github.com/gongqilinvu/a3c-rl

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Incorporating Graph Attention Mechanism into Geometric Problem Solving Based on Deep Reinforcement Learning

https://github.com/google-deepmind/sketch_dqn

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Distributional Bellman Operators over Mean Embeddings

https://github.com/google-research/circuit_training

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That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for Chip Design

https://github.com/google-research/clevr_robot_env

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Language as an Abstraction for Hierarchical Deep Reinforcement Learning

https://github.com/google-research/google-research

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Environment Generation for Zero-Shot Compositional Reinforcement Learning

https://github.com/google-research/google-research/tree/master/experience_replay

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Revisiting Fundamentals of Experience Replay

https://github.com/google-research/google-research/tree/master/memento

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On Catastrophic Interference in Atari 2600 Games

https://github.com/google-research/google-research/tree/master/mico

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MICo: Improved representations via sampling-based state similarity for Markov decision processes

https://github.com/google-research/google-research/tree/master/mol_dqn

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Optimization of Molecules via Deep Reinforcement Learning

https://github.com/google-research/rigl/tree/master/rigl/rl

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The State of Sparse Training in Deep Reinforcement Learning

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