lucidrains/PaLM-rlhf-pytorch
quality grade C, 63 out of 100Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
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RL algorithms, environments, simulators and decision-making systems.
Signals: reinforcement-learning, deep-reinforcement-learning, rl, gymnasium, openai-gym, multi-agent-reinforcement-learning, imitation-learning
664 results
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
StarCraft II Learning Environment
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Python Implementation of Reinforcement Learning: An Introduction
Machine learning, in numpy
Reinforcement Learning via Self-Distillation (SDPO)
[NeurIPS 2025] TTRL: Test-Time Reinforcement Learning
Understanding R1-Zero-Like Training: A Critical Perspective
Latest Advances on System-2 Reasoning
[ICLR 2026] SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
Scalable RL solution for advanced reasoning of language models
Implementation of all RL algorithms in a simpler way
A Survey of Reinforcement Learning for Large Reasoning Models
An elegant PyTorch deep reinforcement learning library.
Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"
Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
A curated list of reinforcement learning with human feedback resources (continually updated)
Deep RL for MPC control of Quadruped Robot Locomotion
Mastering Atari with Discrete World Models
Sim-to-real RL training and deployment tools for the Unitree Go1 robot.
The reinforcement learning training code for AgiBot X1.
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
Turns your phone or VR headset into a robot arm teleoperation device by leveraging WebXR
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