Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
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Apr 17, 2024 - Python
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policy-optimization
Here are 33 public repositories matching this topic...
Implementation of a Deep Reinforcement Learning algorithm, Proximal Policy Optimization (SOTA), on a continuous action space openai gym (Box2D/Car Racing v0)
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Apr 2, 2019 - Python
Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization
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Nov 8, 2018 - Python
Mirror Descent Policy Optimization
reinforcement-learning deep-learning deep-reinforcement-learning deep-learning-algorithms sac trpo deep-rl ppo deep-learning-ai policy-optimization stable-baselines model-free-rl mirror-descent mdpo
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Oct 31, 2020 - Python
[AAAI 2026] D²PPO: Diffusion Policy Policy Optimization with Dispersive Loss.
control robotics rl manipulation fine-tuning post-training policy-optimization online-rl diffusion-policy
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Nov 22, 2025 - Python
Codebase to fully reproduce the results of "No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO" (Moalla et al. 2024). Uses TorchRL and provides extensive tools for studying representation dynamics in policy optimization.
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Nov 20, 2024 - Python
Model-based Policy Gradients
reinforcement-learning openai-gym pytorch computation-graph gym policy-gradient finite-difference backpropagation computational-graphs mujoco model-based ilqg ilqr ilqg-mujoco mujoco-py policy-gradients policy-optimization direct-policy-search mujoco-dynamics
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Mar 12, 2020 - Python
Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)
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Dec 19, 2023 - Python
This repository contains the code for the paper "Local policy search with Bayesian optimization".
reinforcement-learning pytorch gym policy-gradient gradient-descent bayesian-optimization active-learning mujoco policy-optimization
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Oct 27, 2022 - Jupyter Notebook
Bittensor Subnet 11 — an open skill factory that uses distributed compute and RL to produce state-of-the-art skills for AI agents.
reinforcement-learning subnet ai-agents policy-optimization bittensor decentralized-ai agent-skills skill-factory
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May 17, 2026 - Python
reinforcement-learning deep-reinforcement-learning openai-gym pytorch policy-gradient proximal-policy-optimization ppo atari-pong policy-optimization
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Feb 28, 2023 - Jupyter Notebook
CPPO: Contrastive Perception for Vision Language Policy Optimization
reinforcement-learning-algorithms policy-optimization contrastive-learning perception-aware vision-language-model entropy-based-approach cppo vision-token
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Feb 18, 2026 - Python
Reinforcement Learning (RL)! This repository is your hands-on guide to implementing RL algorithms, from Markov Decision Processes (MDPs) to advanced methods like PPO and DDPG. Build smart agents, learn the math behind policies, and experiment with real-world applications!
agent research reinforcement-learning monte-carlo policy-gradient markov-decision-processes temporal-differencing-learning proximal-policy-optimization model-based-rl actor-critic-algorithm policy-optimization model-free-rl
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Jan 27, 2026 - Python
Implementation and explorations into MPO / DMPO
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May 22, 2026
Paragraph-level Policy Optimization for Vision-Language Deepfake Detection - ICML 2026
reinforcement-learning explainable-ai policy-optimization deepfake-detection multimodal-large-language-models vision-language-models multimodal-reasoning paragraph-level-reasoning deepfake-explainability
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May 8, 2026 - Python
Code for Policy Optimization as Online Learning with Mediator Feedback
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Dec 27, 2020 - Python
An implementation of the reinforcement learning for CartPole-v0 by policy optimization
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Dec 17, 2021 - Python
Code accompanying the NeurIPS 2025 paper "Sequential Monte Carlo for Policy Optimization in Continuous POMDPs".
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Oct 8, 2025 - Python
A decision-focused uplift modeling framework that jointly optimizes CATE prediction and treatment allocation policy via a shared-layer neural network, benchmarked against S-Learner, X-Learner, UpliftRank, and GRF on CRITEO-UPLIFT v2.
python deep-learning tensorflow keras causal-inference treatment-effects uplift-modeling marketing-analytics policy-optimization criteo-dataset decision-focused-learning
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Apr 20, 2026 - Jupyter Notebook
Universal governance layer for critical infrastructure control systems. Deterministic validation of AI, automation, and human decisions.
infrastructure ai agnostic ems critical-infrastructure solution-architecture policy-optimization energy-management-systems hardware-abstraction-layer deterministic-systems
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Apr 28, 2026 - TypeScript
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