shakti365 / soft-actor-criticLinks
TF2 Implementation of the Soft Actor-Critic Algorithm
☆44Updated 2 years ago
Alternatives and similar repositories for soft-actor-critic
Users that are interested in soft-actor-critic are comparing it to the libraries listed below
Sorting:
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆150Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆229Updated 3 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Soft Actor-Critic with advanced features☆51Updated 3 weeks ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆176Updated 2 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆291Updated 4 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 2 months ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆69Updated 4 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Updated 5 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆144Updated 2 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆331Updated 3 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆106Updated 5 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆88Updated 2 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆105Updated 3 years ago
- Experiments with reinforcement learning and recurrent neural networks☆115Updated 2 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 7 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆67Updated 5 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆217Updated 2 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆214Updated 6 years ago
- ☆91Updated 4 years ago
- PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)☆76Updated 5 years ago