spideralessio / TRPO-Tensorflow2Links
TRPO Implementation in Tensorflow 2.0 for Reinforcement Learning Project @ Sapienza
☆16Updated 2 years ago
Alternatives and similar repositories for TRPO-Tensorflow2
Users that are interested in TRPO-Tensorflow2 are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆294Updated 4 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆176Updated 3 years ago
- ☆186Updated 3 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 7 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆79Updated 5 years ago
- A novel DDPG method with prioritized experience replay (IEEE SMC 2017)☆50Updated 7 years ago
- Reinforcement Learning for Gym CarRacing-v0 with PyTorch☆160Updated 6 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆149Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆331Updated 4 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 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
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆315Updated 3 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆102Updated 3 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆22Updated 4 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆183Updated 2 years ago
- ☆13Updated 2 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆70Updated 6 months ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Updated 6 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
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆54Updated 9 months ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆120Updated last year
- scalable multi agents reinforcement learning☆63Updated 7 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆95Updated last year
- Implementation of Soft Actor-Critic (SAC) algorithm using TensorFlow 2.1.0☆12Updated 5 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 4 years ago
- The implementation of LSTM-TD3.☆85Updated 2 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆28Updated 6 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 3 years ago