Projects in Awesome Lists tagged with continuous-control
A curated list of projects in awesome lists tagged with continuous-control .
https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
a2c acktr actor-critic advantage-actor-critic ale atari continuous-control deep-learning deep-reinforcement-learning hessian kfac kronecker-factored-approximation mujoco natural-gradients ppo proximal-policy-optimization pytorch reinforcement-learning roboschool second-order
Last synced: 13 Apr 2025
https://github.com/opendilab/lightzero
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
alpha-beta-pruning alphazero atari board-game board-games continuous-control efficientzero gomoku gumbel-muzero gym mcts mcts-algorithm monte-carlo-tree-search muzero pytorch reinforcement-learning sampled-muzero self-play stochastic-muzero tictactoe
Last synced: 14 May 2025
https://github.com/ikostrikov/jaxrl
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
batch-reinforcement-learning behavioral-cloning continuous-control deep-deterministic-policy-gradient deep-learning deep-reinforcement-learning flax gym jax offline-reinforcement-learning reinforcement-learning sac soft-actor-critic
Last synced: 04 Apr 2025
https://github.com/Omegastick/pytorch-cpp-rl
PyTorch C++ Reinforcement Learning
a2c actor-critic advantage-actor-critic continuous-control cplusplus cpp libtorch ppo proximal-policy-optimization pytorch pytorch-cpp-frontend pytorch-rl reinforcement-learning reinforcement-learning-algorithms
Last synced: 07 May 2025
https://github.com/ikostrikov/pytorch-trpo
PyTorch implementation of Trust Region Policy Optimization
continuous-control deep-learning deep-reinforcement-learning mujoco pytorch reinforcement-learning trpo trust-region-policy-optimization
Last synced: 06 Apr 2025
https://github.com/chingyaoc/pytorch-REINFORCE
PyTorch Implementation of REINFORCE for both discrete & continuous control
continuous-control gym mujoco pytorch reinforce reinforcement-learning
Last synced: 07 May 2025
https://github.com/openai/epg
Code for the paper "Evolved Policy Gradients"
continuous-control evolutionary-strategy machine-learning meta-learning paper reinforcement-learning
Last synced: 17 Mar 2025
https://github.com/rl-tools/rl-tools
A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
continuous-control cpp deep-learning mujoco reinforcement-learning robotics tinyml tinyrl
Last synced: 03 Nov 2025
https://github.com/zhihanyang2022/off-policy-continuous-control
Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
actor-critic continuous-control off-policy pytorch rdpg recurrent-neural-network reinforcement-learning rsac rtd3
Last synced: 14 Feb 2026
https://github.com/scitator/catalyst-rl-framework
Catalyst.RL: A Distributed Framework for Reproducible RL Research
benchmark continuous-control deep-learning framework mujoco python pytorch reinforcement-learning
Last synced: 30 Apr 2025
https://github.com/Scitator/catalyst-rl-framework
Catalyst.RL: A Distributed Framework for Reproducible RL Research
benchmark continuous-control deep-learning framework mujoco python pytorch reinforcement-learning
Last synced: 04 Apr 2025
https://github.com/hcnoh/rl-collection-pytorch
A collection of Reinforcement Learning implementations with PyTorch
actor-critic continuous-control deep-learning deep-reinforcement-learning gae generalized-advantage-estimation openai-gym policy-gradient ppo proximal-policy-optimization pytorch reinforcement-learning trpo trust-region-policy-optimization
Last synced: 30 Apr 2025
https://github.com/rupertbg/yes3
Whitelist intentionally-public buckets, block everything else
aws continuous-control continuous-deployment devsecops s3 s3-buckets
Last synced: 29 Jul 2025
https://github.com/lgvaz/rlbox
RLbox: Solving OpenAI Gym with TensorFlow
atari continuous-control deep-reinforcement-learning deep-rl dqn mujoco openai-gym ppo proximal-policy-optimization tensorflow
Last synced: 28 Feb 2026
https://github.com/koulanurag/variable-td3
Learning n-step actions for control tasks
continuous-control control deep-reinforcement-learning gym model-free-rl mujoco options
Last synced: 08 Oct 2025
https://github.com/sardhendu/deeprl
Deep Reinforcement Learning Projects
atari collaboration-and-competition continuous-control ddpg-algorithm deep-reinforcement-learning double-dqn dqn-pytorch maddpg navigation openai-gym pong python-3 pytorch reinforce reinforcement-learning-algorithms tensorboard-visualizations udacity-nanodegree unity-environment
Last synced: 19 Feb 2026
https://github.com/saif99j/gail
🌊 Implement advanced algorithms for USV path planning using reinforcement and imitation learning, ensuring efficient and safe navigation in complex environments.
actor-critic advantage-actor-critic biped continuous-control deep-reinforcement-learning gail generative-adversarial-network imitation-learning inverse-reinforcement-learning irl kfac kronecker-factored-approximation openai-gym pytorch roboschool tensorflow trpo vail
Last synced: 18 Apr 2026
https://github.com/legalaspro/rl-odyssey
RL-Odyssey is a research framework for continuous control that implements state-of-the-art RL algorithms (SAC, TD3, PPO, etc.) with clean experiment scripts and interactive notebooks.
a3c actor-critic continuous-control ddpg deep-learning deep-reinforcement-learning dm-control gymnasium mujoco policy-gradient ppo proximal-policy-optimization pytorch reinforcement-learning sac soft-actor-critic td3 trpo trust-region-policy-optimization
Last synced: 02 May 2026
