rhklite / Parallel-PPO-PyTorchLinks
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
☆21Updated 4 years ago
Alternatives and similar repositories for Parallel-PPO-PyTorch
Users that are interested in Parallel-PPO-PyTorch are comparing it to the libraries listed below
Sorting:
- Multi Task RL Baselines☆250Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 3 weeks ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆180Updated 2 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆141Updated last year
- Representation Learning for RL☆125Updated 2 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- A PyTorch implementation of Advantage weighted Actor-Critic (AWAC)☆56Updated 4 years ago
- Code for "Multi-task Reinforcement Learning with Soft Modularization"☆123Updated 4 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆179Updated 3 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆227Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆134Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- Conservative Q Learning on top of SAC☆132Updated 2 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆359Updated 2 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆150Updated 4 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆146Updated 3 years ago
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆56Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆311Updated last year
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆213Updated 2 years ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆59Updated 4 years ago
- Simple Cartpole example writed with pytorch.☆170Updated 5 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆138Updated 10 months ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Updated 5 years ago
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆69Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆291Updated 4 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆373Updated 3 years ago
- An Implementation of Recurrent Experience Replay in Distributed Reinforcement Learning (Kapturowski et al. 2019) in PyTorch☆48Updated 3 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆317Updated 2 years ago