Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
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Apr 17, 2024 - Python
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policy-optimization
Here are 20 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
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
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
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
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
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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Dec 23, 2025 - Python
Code for Policy Optimization as Online Learning with Mediator Feedback
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Dec 27, 2020 - Python
Code accompanying the NeurIPS 2025 paper "Sequential Monte Carlo for Policy Optimization in Continuous POMDPs".
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Oct 8, 2025 - Python
An implementation of the reinforcement learning for CartPole-v0 by policy optimization
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Dec 17, 2021 - Python
“This project implements a mini LLM alignment pipeline using Reinforcement Learning from Human Feedback (RLHF). It includes training a reward model from human-annotated preference data, fine-tuning the language model via policy optimization, and performing ablation studies to evaluate robustness, fairness, and alignment trade-offs.”
python nlp machine-learning deep-learning transformers pytorch alignment language-models tokenization ai-safety fine-tuning preference-learning ppo policy-optimization dpo human-feedback rlhf reward-model
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Oct 19, 2025 - Jupyter Notebook
This repo implements the REINFORCE algorithm for solving the Cart Pole V1 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1.
python reinforcement-learning deep-learning deep-reinforcement-learning policy pytorch gym policy-gradient cart reinforce pendulum gymnasium drl cart-pole policy-optimization policy-based drl-pytorch reinforce-algorithm cart-pole-balancing cart-pole-v1
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Mar 19, 2024 - Python
Implementation of a GRPO (Gradient Regularized Policy Optimization) training and evaluation pipeline. Includes utilities for dataset preparation, model training, and evaluation on structured tasks. Designed for experimenting with policy optimization techniques in reinforcement learning and generative AI settings.
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Oct 3, 2025 - Python
A collection of Jupyter notebooks implementing core reinforcement learning algorithms: Q-Learning, SARSA, and PPO.
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Jun 21, 2025 - Jupyter Notebook
This repository contains the code for the NeurIPS 2021 submission "Local policy search with Bayesian optimization".
reinforcement-learning gym policy-gradient bayesian-optimization active-learning mujoco policy-optimization
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May 28, 2021 - Jupyter Notebook
🛠️ Apply on-policy distillation to enhance Qwen3-0.6b's performance on GSM8K by learning from its own outputs, reducing bias during inference.
data-science machine-learning research reinforcement-learning ai deep-learning simulation tensorflow pytorch algorithm-development performance-evaluation educational-resources model-training policy-optimization on-policy-distillation
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Dec 23, 2025 - Jupyter Notebook
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