General Reinforcement Learning

Benchmarks archive 2025-07-28

6 leaderboard tables shown for this task, 6 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

7 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 40 papers with code (84 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.

• Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
  5 Dec 2017 62 repositories listed Syntology ran 13 of 17 samples · 4 unverified · 9 pointer-only (licence)
  The game of chess is the most widely-studied domain in the history of artificial intelligence.
• OpenSpiel: A Framework for Reinforcement Learning in Games
  26 Aug 2019 16 repositories listed Syntology ran 1 of 8 samples · 7 unverified
  OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
• Stabilizing Transformers for Reinforcement Learning
  13 Oct 2019 5 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Harnessing the transformer's ability to process long time horizons of information could provide a similar performance boost in partially observable reinforcement learning (RL) domains, but the large-scale transformers…
• Gibson Env: Real-World Perception for Embodied Agents
  31 Aug 2018 5 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Developing visual perception models for active agents and sensorimotor control are cumbersome to be done in the physical world, as existing algorithms are too slow to efficiently learn in real-time and robots are…
• Action Branching Architectures for Deep Reinforcement Learning
  24 Nov 2017 5 repositories listed
  This approach achieves a linear increase of the number of network outputs with the number of degrees of freedom by allowing a level of independence for each individual action dimension.
• Adaptive Rational Activations to Boost Deep Reinforcement Learning
  18 Feb 2021 4 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 3 pointer-only (licence)
  Latest insights from biology show that intelligence not only emerges from the connections between neurons but that individual neurons shoulder more computational responsibility than previously anticipated.
• Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning
  21 Jun 2020 4 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  In this work we aim to solve this problem by optimizing the efficiency and resource utilization of reinforcement learning algorithms instead of relying on distributed computation.
• ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models
  16 Oct 2023 3 repositories listed Syntology ran 8 of 13 samples · 5 unverified · 13 pointer-only (licence)
  ReMax can save about 46% GPU memory than PPO when training a 7B model and enables training on A800-80GB GPUs without the memory-saving offloading technique needed by PPO.
• DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving
  29 Oct 2022 2 repositories listed
  In this paper, we present a Reinforcement Learning (RL) based methodology to DEtect and FIX (DeFIX) failures of an Imitation Learning (IL) agent by extracting infraction spots and re-constructing mini-scenarios on these…
• End-to-End Egospheric Spatial Memory
  15 Feb 2021 2 repositories listed
  Spatial memory, or the ability to remember and recall specific locations and objects, is central to autonomous agents' ability to carry out tasks in real environments.
• The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
  7 Jul 2020 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  For example, the common single-task sample-efficiency metric conflates improvements due to model-based learning with various other aspects, such as representation learning, making it difficult to assess true progress on…
• Learning to Incentivize Other Learning Agents
  10 Jun 2020 2 repositories listed Syntology ran 0 of 10 samples · 10 unverified
  The challenge of developing powerful and general Reinforcement Learning (RL) agents has received increasing attention in recent years.
• Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
  3 Jun 2019 2 repositories listed
  In an effort to better understand the different ways in which the discount factor affects the optimization process in reinforcement learning, we designed a set of experiments to study each effect in isolation.
• Learning Exploration Policies for Navigation
  5 Mar 2019 2 repositories listed
  Numerous past works have tackled the problem of task-driven navigation.
• A Monte Carlo AIXI Approximation
  4 Sep 2009 2 repositories listed
  This paper introduces a principled approach for the design of a scalable general reinforcement learning agent.
• NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning
  21 May 2025 1 repository listed
  Recent advances such as DeepSeek R1-Zero highlight the effectiveness of incentive training, a reinforcement learning paradigm that computes rewards solely based on the final answer part of a language model's output,…
• Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning
  31 Mar 2025 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  We propose Rec-R1, a general reinforcement learning framework that bridges large language models (LLMs) with recommendation systems through closed-loop optimization.
• Hypercube Policy Regularization Framework for Offline Reinforcement Learning
  7 Nov 2024 1 repository listed
  In this paper, a hypercube policy regularization framework is proposed, this method alleviates the constraints of policy constraint methods by allowing the agent to explore the actions corresponding to similar states in…
• Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
  30 Oct 2024 1 repository listed Syntology ran 24 of 33 samples · 9 unverified
  While large models trained with self-supervised learning on offline datasets have shown remarkable capabilities in text and image domains, achieving the same generalisation for agents that act in sequential decision…
• Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design
  4 Oct 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Recently, it has been shown that it is possible to meta-learn update rules, with the hope of discovering algorithms that can perform well on a wide range of RL tasks.
• Learning to Backdoor Federated Learning
  6 Mar 2023 1 repository listed Syntology ran 0 of 13 samples · 13 unverified
  In particular, we propose a general reinforcement learning-based backdoor attack framework where the attacker first trains a (non-myopic) attack policy using a simulator built upon its local data and common knowledge on…
• Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural Networks
  17 Oct 2022 1 repository listed
  In this paper, we propose a framework for intelligent vehicles to conduct JRC, with minimal prior knowledge of the system model and a tunable performance balance, in an environment where surrounding vehicles execute…
• Learning Deformable Object Manipulation from Expert Demonstrations
  20 Jul 2022 1 repository listed
  We test DMfD on a set of representative manipulation tasks for a 1-dimensional rope and a 2-dimensional cloth from the SoftGym suite of tasks, each with state and image observations.
• Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback for Unbiased Learning to Rank
  31 Mar 2022 1 repository listed
  The prevalent approach to unbiased click-based learning-to-rank (LTR) is based on counterfactual inverse-propensity-scoring (IPS) estimation.
• Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach
  14 Nov 2021 1 repository listed
  The feasibility of making profitable trades on a single asset on stock exchanges based on patterns identification has long attracted researchers.
• Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation
  1 Sep 2021 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  In this paper, we present IQ, i.
• QKSA: Quantum Knowledge Seeking Agent
  3 Jul 2021 1 repository listed
  In this article we present the motivation and the core thesis towards the implementation of a Quantum Knowledge Seeking Agent (QKSA).
• Interactive Learning from Activity Description
  13 Feb 2021 1 repository listed
  We present a novel interactive learning protocol that enables training request-fulfilling agents by verbally describing their activities.
• Learning to Represent Action Values as a Hypergraph on the Action Vertices
  28 Oct 2020 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  To test this, we set forth the action hypergraph networks framework -- a class of functions for learning action representations in multi-dimensional discrete action spaces with a structural inductive bias.
• Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution
  29 Sep 2020 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  For such complex tasks, the recently proposed RUDDER uses reward redistribution to leverage steps in the Q-function that are associated with accomplishing sub-tasks.

Syntology lines on 16 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.