CUN-bjy / policy-distillation-baselines
Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.
☆54Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for policy-distillation-baselines
- ☆13Updated 5 years ago
- behavior cloning from observation☆35Updated 3 years ago
- RL Algorithms for Visual Continuous Control☆32Updated last year
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆60Updated last year
- Skill-based Model-based Reinforcement Learning (CoRL 2022)☆52Updated 2 years ago
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆37Updated last year
- Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch☆32Updated 3 years ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆76Updated last year
- Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021☆31Updated 2 years ago
- Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…☆49Updated last year
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆113Updated last year
- Source files to replicate experiments in my ICLR 2022 paper.☆62Updated 4 months ago
- Author's PyTorch implementation of TD7 for online and offline RL☆116Updated last year
- ☆47Updated last year
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆58Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆51Updated 5 months ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆26Updated 2 years ago
- ☆52Updated last year
- Implementation of Jump-Start Reinforcement Learning (JSRL) with Stable Baselines3☆24Updated 10 months ago
- Simple maze environments using mujoco-py☆52Updated 10 months ago
- ☆31Updated 3 years ago
- CORRO code☆34Updated 2 years ago
- Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.☆73Updated 6 months ago
- Advantage weighted Actor Critic for Offline RL☆47Updated 2 years ago
- ☆69Updated 2 years ago
- Safe Multi-Agent Isaac Gym benchmark for safe multi-agent reinforcement learning research.☆57Updated last year
- Official release of CompoSuite, a compositional RL benchmark☆46Updated 9 months ago
- ☆76Updated last year
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆62Updated last year
- Public implementation of "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression" from CoRL'21☆23Updated 3 years ago