FetchPush-v1
3 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in FetchPush-v1
Most implemented papers
Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards
To solve these tasks efficiently, we propose a novel self-guided continual RL framework, RelayHER (RHER).
AACHER: Assorted Actor-Critic Deep Reinforcement Learning with Hindsight Experience Replay
aralab-unr/multi-actor-critic-ddpg-with-aubo
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Since actor and critic learning plays a significant role in the overall robot's learning, the performance of the DDPG approach is relatively sensitive and unstable as a result.
RoMo-HER: Robust Model-based Hindsight Experience Replay
In our paper, we design a robust framework called Robust Model-based Hindsight Experience Replay (RoMo-HER) which can effectively utilize the dynamical model in robot manipulation environments to enhance the sample efficiency.
