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Reinforcement Learning (RL)

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하위 태스크: 6
평가표: 2
보존된 평가 기록: 3

Reinforcement Learning (RL) involves training an agent to take actions in an environment to maximize a cumulative reward signal. The agent interacts with the environment and learns by receiving feedback in the form of rewards or punishments for its actions. The goal of reinforcement learning is to find the optimal policy or decision-making strategy that maximizes the long-term reward.

코드

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

https://github.com/julia-lina-tan/ot-policy-fusion

공식 코드

Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills

https://github.com/juliusfrost/cfrl-rllib

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Explaining Reinforcement Learning Policies through Counterfactual Trajectories

https://github.com/juliusott/uncertainty-buffer

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MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling

https://github.com/junaiddk/transmix

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Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraft

https://github.com/junfanlin/continuous-transition

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Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp

https://github.com/junfanlin/denselight

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DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback

https://github.com/junhyukoh/value-prediction-network

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Value Prediction Network

https://github.com/junja94/anymal_science_robotics_supplementary

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Learning agile and dynamic motor skills for legged robots

https://github.com/junming-yang/moan

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Model-based Offline Policy Optimization with Adversarial Network

https://github.com/junsu-kim97/higl

공식 코드

Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning

https://github.com/junsu-kim97/pig

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Imitating Graph-Based Planning with Goal-Conditioned Policies

https://github.com/jurgisp/memory-maze

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Evaluating Long-Term Memory in 3D Mazes

https://github.com/justairr/satori-r1

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SATORI-R1: Incentivizing Multimodal Reasoning with Spatial Grounding and Verifiable Rewards

https://github.com/justarter/gmocat

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GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing

https://github.com/jvking/reddit-RL-simulator

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Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads

https://github.com/jvmancuso/safe-grid-agents

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Detecting Spiky Corruption in Markov Decision Processes

https://github.com/jw3il/fairstream

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FairStream: Fair Multimedia Streaming Benchmark for Reinforcement Learning Agents

https://github.com/jwhj/oreo

공식 코드

Offline Reinforcement Learning for LLM Multi-Step Reasoning

https://github.com/k4ntz/HackAtari

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HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning

https://github.com/k4ntz/activation-functions

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Adaptive Rational Activations to Boost Deep Reinforcement Learning

https://github.com/k4ntz/scobots

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Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents

https://github.com/kadysongbb/dr-trpo

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Optimistic Distributionally Robust Policy Optimization

https://github.com/kaichiuwong/rlhps

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Weak Human Preference Supervision For Deep Reinforcement Learning

https://github.com/kailashg26/swiftrl

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SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems

https://github.com/kaist-silab/himap

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HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding

https://github.com/kaito-1111/risk-sensitive-sac

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Risk-sensitive control as inference with Rényi divergence

https://github.com/kaiwenw/JoinGym

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JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning

https://github.com/kaiwenzha/rl-tango

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RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning

https://github.com/kaixhin/gudrl

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All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL

https://github.com/kaixin96/mixreg

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Improving Generalization in Reinforcement Learning with Mixture Regularization

https://github.com/kaixindelele/RHER

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Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards

https://github.com/kaiyan289/rl_as_vitamin_for_online_decision_transformers

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Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers

https://github.com/kakaobrain/stg

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Selective Token Generation for Few-shot Natural Language Generation

https://github.com/kakaoenterprise/jorldy

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JORLDY: a fully customizable open source framework for reinforcement learning

https://github.com/kaland313/Duckietown-RL

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Sim-to-real reinforcement learning applied to end-to-end vehicle control

https://github.com/kanishkg/cognitive-behaviors

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Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

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