schneimo / ddpg-pytorch
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
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆97Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆102Updated 4 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 5 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆135Updated 6 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆94Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆283Updated 3 years ago
- Baseline implementation of recurrent PPO using truncated BPTT☆132Updated 8 months ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆128Updated 7 months ago
- The implementation of LSTM-TD3.☆72Updated last year
- ☆39Updated 3 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆199Updated 5 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆47Updated 4 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆156Updated 9 months ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆97Updated 3 years ago
- Collection of OpenAI parametrized action-space environments.☆62Updated last year
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆115Updated 2 months ago
- Experiments with reinforcement learning and recurrent neural networks☆113Updated last year
- DSAC; Distributional Soft Actor-Critic☆120Updated 10 months ago
- [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control☆103Updated 4 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆83Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆155Updated 2 months ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆98Updated 2 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆93Updated 3 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆339Updated last year
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆130Updated 8 months ago
- ☆192Updated last year
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆339Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Code for Weighted QMIX☆126Updated 4 years ago