ray-project / rl-experimentsLinks
Keeping track of RL experiments
☆163Updated 2 years ago
Alternatives and similar repositories for rl-experiments
Users that are interested in rl-experiments are comparing it to the libraries listed below
Sorting:
- Code for the paper "Phasic Policy Gradient"☆262Updated 2 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆185Updated last year
- Random Network Distillation pytorch☆252Updated 6 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆103Updated 6 months ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆191Updated 2 years ago
- ☆201Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 2 weeks ago
- Real-World RL Benchmark Suite☆354Updated 5 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆261Updated 5 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆316Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆322Updated 3 years ago
- ☆146Updated 9 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆160Updated 2 years ago
- ☆112Updated 5 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆508Updated 2 years ago
- Gridworld for MARL experiments☆141Updated 4 years ago
- Performances of Reinforcement Learning Agents☆53Updated 5 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆216Updated 2 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆133Updated 7 years ago
- Soft Actor-Critic with advanced features☆51Updated last week
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆84Updated 4 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 5 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆219Updated last year
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆226Updated 3 years ago