philtabor / Actor-Critic-Methods-Paper-To-CodeLinks
☆184Updated 3 years ago
Alternatives and similar repositories for Actor-Critic-Methods-Paper-To-Code
Users that are interested in Actor-Critic-Methods-Paper-To-Code are comparing it to the libraries listed below
Sorting:
- ☆426Updated 2 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆315Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆291Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆354Updated 5 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆309Updated 5 years ago
- PyTorch implementation of SAC-Discrete.☆310Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆343Updated 2 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆102Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆331Updated 3 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆419Updated 4 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆299Updated last year
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆214Updated 2 years ago
- Reinforcement learning tutorials☆388Updated 2 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆79Updated 5 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆242Updated 9 months ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆69Updated 5 months ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆196Updated last year
- multi-agent deep reinforcement learning for networked system control.☆428Updated 5 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Policy Gradient Actor-Critic PyTorch | Lunar Lander v2☆73Updated 6 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆176Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆733Updated 3 years ago
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆100Updated 5 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆450Updated 4 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆241Updated 5 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆353Updated 5 years ago
- A collection of multi agent environments based on OpenAI gym.☆620Updated last year