Alternatives and similar repositories for smpl

Users that are interested in smpl are comparing it to the libraries listed below

• SimonRennotte / Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
  Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…
  ☆145Updated 2 years ago
• AgrawalAmey / safe-explorer
  Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]
  ☆73Updated 6 years ago
• liuzuxin / FSRL
  🚀 A fast safe reinforcement learning library in PyTorch
  ☆218Updated last year
• liuzuxin / MPC_template-model_predictive_control_for_reinforcement_learning
  Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment
  ☆88Updated 5 years ago
• LucasAlegre / morl-baselines
  Multi-Objective Reinforcement Learning algorithms implementations.
  ☆442Updated 2 months ago
• mit-gfx / PGMORL
  [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
  ☆122Updated 5 years ago
• williamyuanv0 / Transformer-in-Reinforcement-Learning-for-Decision-Making-A-Survey
  Transformer in RL for decision-making
  ☆102Updated 2 years ago
• uoe-agents / robotic-warehouse
  Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
  ☆72Updated last year
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆201Updated last year
• rcheng805 / RL-CBF
  ☆156Updated 6 years ago
• Farama-Foundation / MO-Gymnasium
  Multi-objective Gymnasium environments for reinforcement learning
  ☆348Updated 4 months ago
• hcnoh / gail-pytorch
  A simple implementation of Generative Adversarial Imitation Learning with PyTorch
  ☆169Updated 3 years ago
• grockious / lcrl
  Logically-Constrained Reinforcement Learning
  ☆54Updated last year
• schneimo / ddpg-pytorch
  PyTorch implementation of DDPG for continuous control tasks.
  ☆46Updated 5 years ago
• ZhongZ-Wang / Model-Based-RL
  这是一个关于基于模型的强化学习的资料，包括一些代码地址、paper、slide等。
  ☆45Updated 5 years ago
• Intelligent-Driving-Laboratory / GOPS
  General Optimal control Problem Solver (GOPS), an easy-to-use PyTorch reinforcement learning solver package for industrial control.
  ☆274Updated last week
• liuzuxin / OSRL
  🤖 Elegant implementations of offline safe RL algorithms in PyTorch
  ☆218Updated last year
• PKU-Alignment / safety-gymnasium
  NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
  ☆506Updated last month
• gxywy / rl-plotter
  A plotter for reinforcement learning (RL)
  ☆234Updated 3 years ago
• chauncygu / Safe-Reinforcement-Learning-Baselines
  The repository is for safe reinforcement learning baselines.
  ☆713Updated last week
• MarcoMeter / recurrent-ppo-truncated-bptt
  Baseline implementation of recurrent PPO using truncated BPTT
  ☆155Updated last year
• araffin / rl-handson-rlvs21
  Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.
  ☆57Updated 2 years ago
• yihaosun1124 / OfflineRL-Kit
  An elegant PyTorch offline reinforcement learning library for researchers.
  ☆363Updated 3 months ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆112Updated 4 years ago
• xtma / apo
  Average-Reward Reinforcement Learning with Trust Region Methods
  ☆11Updated 3 years ago
• semitable / robotic-warehouse
  Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
  ☆391Updated last year
• chauncygu / Safe-Multi-Agent-Mujoco
  Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.
  ☆66Updated last year
• qzed / irl-maxent
  Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
  ☆298Updated last year
• proroklab / VectorizedMultiAgentSimulator
  VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …
  ☆472Updated last week
• FilippoAiraldi / mpc-reinforcement-learning
  Reinforcement Learning with Model Predictive Control
  ☆558Updated last week