Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
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Apr 17, 2024 - Python
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policy-optimization
Here are 43 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
Band-constrained Policy Optimization with probability-aware clipping for LLM reinforcement learning
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Apr 8, 2026 - Python
Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization
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Nov 8, 2018 - 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
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
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
A modular, production-grade framework for Reinforcement Learning from Human Feedback (RLHF) with Proximal Policy Optimization (PPO) and Direct Preference Optimization (DPO).
machine-learning ppo policy-optimization dpo large-language-models rlhf reinforcement-learning-from-human-feedback reward-modeling llm-alignment
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Jun 6, 2026 - Python
Bittensor Subnet 11: verified agent work on open-weight models. Season 2: fusion policies over the Engy catalog; next: an open protocol for verifiable environments.
reinforcement-learning subnet ai-agents policy-optimization bittensor decentralized-ai agent-skills skill-factory
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Sep 21, 2026 - 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
CPPO: Contrastive Perception Policy Optimization for VLM Agents
reinforcement-learning-algorithms policy-optimization contrastive-learning perception-aware vision-language-model entropy-based-approach cppo vision-token
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May 28, 2026 - Python
Implementation and explorations into MPO / DMPO
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Aug 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
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
Autonomous reinforcement learning loop with adaptive hyperparameter tuning, multi-policy ensemble management, and framework-agnostic agent support. Self-converging via exponential backoff. Works with TensorFlow, PyTorch, JAX - bring any algorithm.
machine-learning reinforcement-learning deep-reinforcement-learning multi-agent neural-networks hyperparameter-tuning policy-optimization rl-framework convergence-detection
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Jun 19, 2026 - 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
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