compsciencelab / ppo_D
This is the official repository for the paper "Guided Exploration with Proximal Policy Optimization using a Single Demonstration", https://arxiv.org/abs/2007.03328
☆17Updated 2 years ago
Related projects: ⓘ
- Reimplementation of Policy Optimization with Demonstrations (POfD) from ICML 2018.☆14Updated 5 years ago
- ☆39Updated 2 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆87Updated 3 years ago
- 这是一个关于基于模型的强化学习的资料,包括一些代码地址、paper、slide等。☆34Updated 4 years ago
- ☆44Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM) on Pyramid env, Unity ML☆13Updated 9 months ago
- Assignments for CS294-112.☆30Updated 5 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆44Updated 3 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆61Updated 3 years ago
- Generate expert demonstrations; GAIL(Generative Adversarial Imitation Learning); IRL(Inverse Reinforcement Learning)☆28Updated 3 years ago
- ☆18Updated last year
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆61Updated last year
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆70Updated 9 months ago
- Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch☆30Updated 3 years ago
- Source code for paper: Efficient deep reinforcement learning via adaptive policy transfer☆14Updated 2 years ago
- behavior cloning from observation☆34Updated 3 years ago
- There will be updates later☆79Updated 5 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆60Updated 10 months ago
- ☆11Updated this week
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆34Updated 4 years ago
- Implementation of Off Policy Adversarial Inverse Reinforcement Learning☆20Updated 3 years ago
- DDPGfD: This is our implementation project for the Reinforcement Learning course in NCTU.☆30Updated 2 years ago
- Code for a model-based version of Constrained Policy Optimization☆10Updated 3 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆45Updated 3 months ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆63Updated last year
- Implement many Sparse Reward algorithms in Gym Fetch environment☆79Updated 4 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆41Updated 2 years ago
- Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms includ…☆26Updated last year
- Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]☆22Updated last year
- ☆40Updated 3 years ago