rllib

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

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Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

16 shown of 16 papers with code (23 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• POPGym: Benchmarking Partially Observable Reinforcement Learning
  3 Mar 2023 3 repositories listed
  Real world applications of Reinforcement Learning (RL) are often partially observable, thus requiring memory.
• RLlib: Abstractions for Distributed Reinforcement Learning
  26 Dec 2017 3 repositories listed
  Reinforcement learning (RL) algorithms involve the deep nesting of highly irregular computation patterns, each of which typically exhibits opportunities for distributed computation.
• IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on Analyses of Interestingness
  18 Jul 2023 2 repositories listed
  However, existing systems lack the necessary mechanisms to provide humans with a holistic view of their competence, presenting an impediment to their adoption, particularly in critical applications where the decisions…
• SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas
  18 Mar 2025 1 repository listed Syntology ran 0 of 11 samples · 11 unverified
  In this paper, we introduce SocialJax, a suite of sequential social dilemma environments and algorithms implemented in JAX.
• Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies
  27 Feb 2025 1 repository listed
  It relaxes assignment dependencies between subtask components and enables event-driven asynchronous communication.
• Scalable Volt-VAR Optimization using RLlib-IMPALA Framework: A Reinforcement Learning Approach
  24 Feb 2024 1 repository listed
  To address this challenge, our research presents a novel framework that harnesses the potential of Deep Reinforcement Learning (DRL), specifically utilizing the Importance Weighted Actor-Learner Architecture (IMPALA)…
• LExCI: A Framework for Reinforcement Learning with Embedded Systems
  5 Dec 2023 1 repository listed
  Advances in artificial intelligence (AI) have led to its application in many areas of everyday life.
• MolOpt: Autonomous Molecular Geometry Optimization using Multi-Agent Reinforcement Learning
  24 Aug 2023 1 repository listed
  We cast MGO as a MARL problem, where each agent corresponds to a single atom in the molecule.
• CoRL: Environment Creation and Management Focused on System Integration
  3 Mar 2023 1 repository listed
  Existing reinforcement learning environment libraries use monolithic environment classes, provide shallow methods for altering agent observation and action spaces, and/or are tied to a specific simulation environment.
• RayNet: A Simulation Platform for Developing Reinforcement Learning-Driven Network Protocols
  9 Feb 2023 1 repository listed
  In this paper, we introduce \textit{RayNet}, a scalable and adaptable simulation platform for the development of RL-based network protocols.
• Project proposal: A modular reinforcement learning based automated theorem prover
  6 Sep 2022 1 repository listed
  We propose to build a reinforcement learning prover of independent components: a deductive system (an environment), the proof state representation (how an agent sees the environment), and an agent training algorithm.
• VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
  7 Jul 2022 1 repository listed
  VMAS's scenarios prove challenging in orthogonal ways for state-of-the-art MARL algorithms.
• ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning
  11 Dec 2021 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  In this paper, we present a scalable and elastic library ElegantRL-podracer for cloud-native deep reinforcement learning, which efficiently supports millions of GPU cores to carry out massively parallel training at…
• Godot Reinforcement Learning Agents
  7 Dec 2021 1 repository listed Syntology ran 1 of 5 samples · 4 unverified · 1 pointer-only (licence)
  We present Godot Reinforcement Learning (RL) Agents, an open-source interface for developing environments and agents in the Godot Game Engine.
• MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning
  5 Jun 2021 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  Our framework is comprised of three key components: (1) a centralized task dispatching model, which supports the self-generated tasks and scalable training with heterogeneous policy combinations; (2) a programming…
• RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
  25 Nov 2020 1 repository listed
  Researchers and practitioners in the field of reinforcement learning (RL) frequently leverage parallel computation, which has led to a plethora of new algorithms and systems in the last few years.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.