schneimo / ddpg-pytorchLinks
PyTorch implementation of DDPG for continuous control tasks.
☆46Updated 5 years ago
Alternatives and similar repositories for ddpg-pytorch
Users that are interested in ddpg-pytorch are comparing it to the libraries listed below
Sorting:
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 4 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆132Updated 11 months ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆109Updated 4 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 5 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆99Updated 5 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆168Updated 7 months ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 4 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆142Updated 6 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆144Updated 3 years ago
- Implementation of Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.☆28Updated last month
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆53Updated 3 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆170Updated 3 years ago
- ☆40Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆179Updated last year
- Collection of OpenAI parametrized action-space environments.☆65Updated 3 months ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆72Updated 6 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆222Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆103Updated 5 years ago
- Baseline implementation of recurrent PPO using truncated BPTT☆148Updated last year
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- A Reinforcement Learning Project using PPO + LSTM☆82Updated last year
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- Single-file pytorch implementation of hybrid-SAC☆58Updated 4 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆218Updated 6 years ago
- DSAC; Distributional Soft Actor-Critic☆129Updated 4 months ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆154Updated last year
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- Solve BipedalWalkerHardcore-v2 with TD3☆90Updated 2 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆35Updated 3 years ago