CSTR

Action space	Box((1,)), all actions in [-1, 1]
Observation space	Box((3,))
Tracked variable(s)	C_a (mol/L)
Episode length	100 steps (1500 s at 15 s per step)
Import	from target_gym import CSTR, CSTRParams
Cite as	cstr-v1

Action space

Actions are normalised to [-1, 1] and mapped onto the plant's real actuator range inside the environment.

#	meaning	min	max
0	coolant temperature	-1	1

Observation space

3 values. Indices (0,) carry the tracked variable(s) that the reward scores.

Rewards

See the environment's compute_reward.

Every environment in this suite scores on one contract: the reward is (tracking terms, multiplied) x (1 - weighted costs), bounded in [0, 1], and reaches 1 only while the target is held exactly. See Reward shaping.

Starting state

reset samples the initial condition and the target; state has 5 fields.

Episode end

Termination. See check_is_terminal.

Truncation. After 100 steps.

Baselines

A tuned PID ships with this environment.

Arguments

parameter	default
delta_t	0.25
max_steps_in_episode	100
q	100
V	100
rho	1000
C	0.239
deltaHr	-50000
EA_over_R	8750
k0	7.2e+10
UA	50000
Ti	350
Caf	1
T_c_max	302
T_c_min	295
…	7 more, see the params dataclass